28 Data Analysis jobs in Katy

JOIN THE PEOPLE POWERING KODIAK

Kodiak understands that our most valuable resource is our employees, and in order to provide industry-leading service and runtime, you must attract and retain premier talent. To accomplish this, Kodiak focuses on providing internal professional development and training, as well as the best benefits package in the industry.

Essential Duties & Responsibilities

• Data Modeling BI, Data Warehousing and IoT solutions

• Performs technical troubleshooting, code debugging, and problem solving for custom built data warehousing solutions

• Assists in implementing effective business analytics practices that drive improved decision making, efficiency and performance

• Communicate with nontechnical business users to determine specific business requirements for reports and business intelligence solutions

• Communicates regularly with technical, applications and operational staff to ensure database integrity, security and optimized performance at the application and database level

• Identifies, communicates, and resolves data quality and data reconciliation issues

• Participates in and supports all planning and problem resolution

• Performs independent audits and reviews and validates databases to ensure data integrity

• Develops and enforces standards and procedures for the storage and retrieval of institutional data Works collaboratively with institutional staff and reporting officials to resolve data discrepancies and/or to clarify reporting procedures

• Maintains an accurate and comprehensive inventory of data, data systems, and data storage

• Processes data extracts using data retrieval and management tools

• Builds effective partnerships with coworkers throughout the Company by freely sharing appropriate information and providing assistance when needed

• Ensures optimum service to all internal and external partners in response to all requests for service and information

• Assists with other duties as assigned

• Protects confidential information

Education, Experience and Training

• Bachelor's degree required in relevant field

• Demonstrated attention to detail on ensuring the accuracy and efficiency of the data warehouse and the individual work units

• Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences

• Self-motivated; able to work within a project-based environment

• Seven years of experience in business performance reporting, data analysis and proactive insights

• MS SQL Server, Integration Services and Reporting Services required

• Strong TSQL scripting abilities and understanding of complex stored procedures, views, data aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques

• Demonstrated experience in data extraction and manipulation, ETL techniques required

• Must be able to meet deadlines, juggle multiple projects and work independently.

• Aptitude in telling the story behind the data and translating analysis into insights and recommendations

• Ability to teach and mentor other employees, providing an opportunity for development and growth

• Excellent planning, and organizational skills

• Strong analytical skills and business problem-solving skills.

• IoT Experience

• AI / ML Experience highly desired

Physical Demands

• Requires an employee to frequently type and use computer and other office equipment such as a copier, printer, calendar, telephone, etc.

• May be required to sit for long periods of time

Kodiak Gas Services is an Equal Employment Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.

ReqID: JR2704

• You will provide us with crucial insight into how we are performing as an organization, and if we are on track with our financial and strategic goals.
• Build compelling, interactive and actionable reporting on top of structured data models that help in deriving meaningful business insights from large, complex datasets.
• Publish & maintain information related to historical, current and future performance.
• Train team members/ users on Power BI tool, dashboards and reports, as required by FP&A team.
• Collaborate on identified ad hoc business problem-solving requests.
• Complies with Company policies, operating procedures, processes, and task assignments.

• Four-year degree in Business, Accounting or Finance. Data Analyst(MT1)
• 3+ years of experience in data extraction and transformation.
• Experience with data extraction and transformation in Power BI, with Microsoft CRM, Oracle DBs, SQL Server and Excel. Ability to write, optimize, and manage complex SQL and DAX queries.
• Proficiency in Microsoft Power Apps and Power Automate preferred.

• Mandatory: SQL Server, Power BI capabilities, Oracle, Excel, Microsoft Office Tools
• Additional Preferred: Microsoft Power Apps and Power Automate

• A successful candidate will be a key member of the Financial Planning and Analysis (FP&A) team, who will combine strong technical skills with business acumen and effective communication skills to bring complex data-driven solutions to life.
• The role requires an individual who has built end-to-end business intelligence (BI) solutions and is highly motivated to take the responsibility for BI solutions from conception through to successful delivery.
• Responsible for designing, developing and deploying Microsoft Power BI Analytics Dashboards/Reports, Power Apps and Power Automate.
• A natural self-starter, you have a passion for using data to drive business decisions, are comfortable with data mining and visualization techniques, and are at home partnering with end users to deliver solutions.
• Have demonstrated experience in a project-based business and an understanding of project management and resource management principles.
• Delivers new or builds on existing solutions as prioritized jointly by business & FP&A team.
• Analyzes multiple data sources like Microsoft CRM, Oracle, data lake house solutions and Excel to integrate with existing datasets and relate a comprehensive BI story.

Data Science Intern

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

• Participates in the analysis and validation of data sets/solutions/user experience.

• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

• Supports the research, identification and delivery of data science solutions to problems.

• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Intern Education & Experience Required:

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.

Knowledge and Skills:

• Basic knowledge of data science methodologies.

• Basic understanding of business requirements and data science objectives.

• Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).

• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).

• Basic communication and presentation skills.

• Basic data knowledge of relevant data programming languages.

• Basic knowledge of data visualization techniques.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Job Level:

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Data Science Intern

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

This requestion may be classified as on desk or hybrid depending on location and role.

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

• Participates in the analysis and validation of data sets/solutions/user experience.

• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

• Supports the research, identification and delivery of data science solutions to problems.

• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Intern Education & Experience Required:

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.

Knowledge and Skills:

• Basic knowledge of data science methodologies.

• Basic understanding of business requirements and data science objectives.

• Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).

• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).

• Basic communication and presentation skills.

• Basic data knowledge of relevant data programming languages.

• Basic knowledge of data visualization techniques.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

#interns

Job:
Engineering
Job Level:
N/A

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at

USD Hourly: $35.00 - $46.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Data Science Graduate

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

This requestion may be classified as on desk or hybrid depending on location and role.

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data

into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

• Participates in the analysis and validation of data sets/solutions/user experience.

• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

• Supports the research, identification and delivery of data science solutions to problems.

• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education and Experience Required:

• Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.

• Typically 0-2 years experience.

Knowledge and Skills:

• Basic knowledge of data science methodologies.

• Basic understanding of business requirements and data science objectives.

• Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).

• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).

• Basic communication and presentation skills.

• Basic data knowledge of relevant data programming languages.

• Basic knowledge of data visualization techniques.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

#grads

Job:
Engineering
Job Level:
TCP_01

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at

USD Annual Salary: $60,800.00 - $181,200.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

One Federal Solution seeks a talented and passionate Data Analyst to join our team to support our Federal Government client. As a Data Analyst, you will be responsible for gathering, analyzing, and interpreting large datasets to uncover insights that will drive informed business decisions as follows:
Data Analyst Key Responsibilities

• Establish/maintain physical and electronic files.
• Provide organization and management of case files in physical and electronic formats.
• Review data (completeness of information, proper execution).
• Review, enter, and extract data from database.
• Obtain additional information from other investigative agencies and databases.
• Receive, suspense petitions, claims, and process requests.
• Reconcile inconsistencies.
• Gather information and organize investigative packages.
• Verify case files and case tracking systems.
• Conduct and reconcile reports.
• Receive and distribute various types of documents, including court documents.
• Assist lead analyst or official in obtaining/collecting all documents/information to complete case file.
• Provide administrative information and assistance concerning cases to other investigative agencies, local law enforcement agencies, U.S. Attorney, other DOJ processing units, and higher headquarters.
• Extract data from agency database for management and program reports.
• Perform word processing relevant to case documentation.
• Perform data entry relevant to case.

• Undergraduate degree.
• Ability to review and analyze data and information from multiple sources.
• Ability to establish case/project files in both paper and electronic mediums.
• Ability to enter and retrieve data from databases.
• Ability to prepare and format management reports.
• Ability to manipulate, transfer, compute, and print information.
• Proficiency in using spreadsheet and word processing software.
• Ability to create and manipulate spreadsheets.
• Ability to prepare and correct reports and correspondence using word processing software.
• Must have English Proficiency.

• Responsible for importing, cleansing, validating and analyzing data with the purpose of understanding or drawing conclusions from the data.
• Query data using SQL.
• Present data in charts, graphs, or tables using visualization tools.
• Minimal work direction needed, highly skilled and knowledgeable to the position.
• This position would typically include a professional Data Analyst.
• Expert in the field, possibly professional certification holder.

• Strong analytical, verbal and written communication skills.
• Report generation and data analysis. Proficient in SQL and either Spotfire or Power BI.
• Experience with Databricks, python and data engineering preferred.
• Experience with Upstream Drilling & Completions datasets a plus

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Role:
Location:
Duration:
Required Skills:
Job Description:

Role : Data Analyst
Location : Spring, TX- 77384
Duration : Long Term

Client: Dexian

Need candidate on W2 (H4EAD/ L2EAD/ OPT EAD) will work also

Overview: We are looking for a Data Analyst to play a critical role in a large-scale data migration project from Oracle to Snowflake. The ideal candidate will conduct due diligence, lead discovery efforts, and support the project team in analyzing and preparing data for migration across 93 applications.

Key Responsibilities:

• Conduct comprehensive due diligence to evaluate existing Oracle database schemas, data quality, and business rules.
• Lead discovery sessions with stakeholders to gather detailed requirements and document data sources and flows.
• Analyze and map data from Oracle to Snowflake, identifying transformation needs and ensuring alignment with business objectives.
• Collaborate with the project team to develop data migration strategies and timelines.
• Create and maintain documentation, including data dictionaries, mapping documents, and process flows.
• Identify data quality issues and work with teams to develop solutions for cleansing and validating data.
• Provide insights and recommendations based on data analysis to inform project decisions.
• Support the team in testing and validating migrated data to ensure accuracy and completeness.
• Communicate findings and project updates to stakeholders and management effectively.

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; advanced degree preferred.
• Proven experience as a Data Analyst, especially in data migration or transformation projects.
• Strong knowledge of Oracle databases and familiarity with Snowflake or other cloud data warehousing solutions.
• Proficiency in SQL and data analysis tools (e.g., Python, R, Tableau).
• Excellent analytical skills with attention to detail and a problem-solving mindset.
• Strong communication and interpersonal skills to collaborate with cross-functional teams.
• Experience with data governance and data quality frameworks is a plus.

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior Data Analyst

What does a successful Senior Data Analyst do at Fiserv?

Under the guidance of a director or Portfolio Manager, you will support transaction risk management for a portfolio of merchant accounts.

What you will do:

• Develop, test, and implement machine learning models and rules to mitigate fraud and credit risk.

• Analyze ambiguous data to understand trends, reach conclusions, and develop strategies to improve portfolio performance.

• Provide internal and external reporting and analytics on an ongoing and ad hoc basis.

• Monitor key metrics and ensures accounts are meeting all contractual SLAs.

• Communicate directly with external customers.

• Work with minimal supervision.

What you will need to have:

• Bachelor's degree

• 3 years of experience in an analytical role.

• Strong background in a technical or analytical business environment with a proven track record of success and increasing responsibilities.

• Experience working with, understanding, and analyzing large data sets.

• Experience with SQL

What would be great to have:

• Masters' degree

• Python, R Studio, or other statistical languages.

• Experience with SAS.

• Tableau, Power BI, and other data analytics and visualization tools.

• Predictive modeling and big data experience.

• Background in a modeling and testing (champion/challenger) environment.

• An understanding of the check/ACH/payments industry.

How you will work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experience helps you with your overall onboarding experience and leads to stronger productivity.

Applicants must be authorized to work for any employer in the US. We are unable to provide employer sponsorship or take over sponsorship of an employer sponsored visa at this time.

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island or Washington.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name

• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.