63 Data Analysts jobs in Dallas

**Position Overview**
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) Data Engineer within PNC's Asset Management organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
As a Data Engineer, you will be part of an engineering team where you will be responsible for technical design and development within our Asset Management line of business. Additionally, you will work with our Data Engineers to create and build data warehousing technology.
Due to the nature of this position we are seeking passionate Data Engineers. Candidates should have experience with the following:
Use statistical techniques and analytical methods to discover and interpret trends, patterns, and correlations within datasets.
Manage and maintain Oracle Databases, including schema design, indexing, partitioning and performance tuning.
Ensure data quality, consistency, and security across all data layers.
Troubleshoot and resolve data related issues and provide root-cause analysis.
Monitor daily ETL jobs, implement error handling mechanisms, and ensure timely data delivery.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.
+ Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
+ Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
+ Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.
+ Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle
**Work Experience**
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $55,000.00 - $184,000.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 07/10/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Description
We are looking for a skilled Data Analyst to join our team in Dallas, Texas. In this role, you will be responsible for transforming complex datasets into actionable insights, enabling data-driven decisions across various business units. The ideal candidate will have a strong analytical mindset and a passion for improving data processes and methodologies.
Responsibilities:
- Analyze large datasets to uncover trends, patterns, and valuable insights that inform business strategies.
- Develop and maintain dashboards, reports, and visualizations to support decision-making processes.
- Enhance data processes and methodologies to improve efficiency and ensure accuracy.
- Conduct ad-hoc analyses to support diverse business initiatives and projects.
- Document data processes and methodologies to facilitate knowledge sharing and continuity.
- Perform advanced statistical analyses and predictive modeling to identify opportunities and trends.
- Create tools and frameworks to improve data accessibility and usability for stakeholders.
- Integrate data from internal and external sources to ensure seamless data flow and consistency.
- Collaborate with teams such as operations, finance, and accounting to understand data needs and deliver tailored solutions.
- Implement data quality measures, including validation and cleansing procedures, to maintain integrity.
Requirements - Proven experience in data analysis, visualization, and reporting using tools like Power BI and Alteryx.
- Strong statistical and analytical skills, with proficiency in predictive modeling techniques.
- Familiarity with integrating data from various sources and maintaining seamless data flow.
- Ability to design and implement efficient data models and queries for reporting purposes.
- Knowledge of data validation and cleansing procedures to ensure high-quality datasets.
- Excellent collaboration skills to work effectively with cross-functional teams.
- Strong documentation skills to record processes and share methodologies.
- Prior experience in handling large datasets and conducting ad-hoc analyses.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

**Job Description:**
**Work Schedule** : **This position requires office presence of 5 days per week and is only located in the location(s) posted. No relocation is offered**
**Work Location:** **Dallas, TX**
**Overview:**
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
Our Service and Support Analytics & Insights team is looking for a Lead Data Analyst who is passionate about driving service performance and has analytical and multi-task abilities to thrive in a fast-paced environment.
This role is at the frontline of AT&T's digital transformation, supporting Digital service and support performance and analytics for our online properties. You will have day-to-day responsibility for reporting, analysis, insights, data wrangling, and creation of professional automated reporting and analytics dashboards.
You will support and partner with teams across the enterprise. You will execute analysis, research, and solution development to aid the Online Business in attaining targets and setting future goals. You will have an intimate knowledge of the current state of the business, current technology, and implement plans to achieve the desired future state.
**Summary:**
Analytics, Reporting, Data Wrangling, creation of dashboard for web and omni channel activities. This role will focus specifically on Support activities reporting and analytics. Responsible for reporting KPI and operational detail. Working with partners to ensure data is available to be captured so it can be reported. Monitor and be able to attribute performance to changing conditions. Create and maintain in suite (Adobe Analytics, Tableau, PowerBI, Quantum Metric, ForeSee/Verint) reports.
Work on issues of diverse scope where analysis of industry trends and competitive dynamics requires evaluation of a variety of factors and potential outcomes. Leverage analytics, research, and long-term thinking to help the business unlock service and support, CX, and omni channel performance gains. Automating, building, and maintaining a suite of reporting in Tableau or PowerBI. Managing analytics/reporting requirements for projects that impact the Online Business team including PI planning.
Utilize soft skills and effective communication skills to explain analysis, data trends, and anomalies in meaningful way to all levels of leadership. Requires substantial partnership with cross functional teams.
**Key Roles and Responsibilities:** Typical tasks may include, but are not limited to, the following:
- **Data Collection and Processing:** Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
- **Data Analysis and Interpretation:** Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
- **Reporting and Visualization:** Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
- **Discrepancy Resolution and Quality Assurance:** Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
- **Analytical Tools:** Includes SQL, PowerBI, Python, etc.
**Qualifications Desired:**
Bachelor's degree in a quantitative field (mathematics, economics, statistics, computer science, electrical engineering, physics, etc.) or equivalent experience
- 3-5 years managing eCommerce analytics for a large-scale web property
- 2+ years managing analytics in a corporate environment
- Experience with Adobe Experience Cloud or Google Analytics
- Intermediate SQL and table creation experience
- Intermediate to advanced Python experience
- Proactive and anticipatory problem solver
- Excellent communication skills (written and verbal)
- Ability to effectively translate complex data into actionable business insights
**Supervisor** : No
Our **Lead Data Analyst** earns between $130,700 - $96,100 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. 
**Joining our team comes with amazing perks and benefits:**
+ Medical/Dental/Vision coverage 
+ 401(k) plan 
+ Tuition reimbursement program 
+ Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) 
+ Paid Parental Leave 
+ Paid Caregiver Leave 
+ Additional sick leave beyond what state and local law require may be available but is unprotected 
+ Adoption Reimbursement 
+ Disability Benefits (short term and long term) 
+ Life and Accidental Death Insurance 
+ Supplemental benefit programs: critical illness/accident hospital indemnity/group legal 
+ Employee Assistance Programs (EAP) 
+ Extensive employee wellness programs 
+ Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
+ AT&T internet (and fiber where available) and AT&T phone
If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Ready to join our team?
Apply today!
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Dallas, Texas
**Salary Range:**
$116,700.00 - $196,100.00
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their team in Dallas, Texas. This is an exciting opportunity for an aspiring professional to gain hands-on experience in data analysis, business intelligence, and reporting. As a Junior Data Analyst, you will support senior analysts and various departments by collecting, cleaning, analyzing, and visualizing data to derive actionable insights. Your responsibilities will include assisting in the development of reports and dashboards, identifying trends and patterns, and contributing to data-driven decision-making processes. This role requires a strong analytical mindset, a keen eye for detail, and a foundational understanding of statistical concepts. You will work with various datasets, utilizing tools such as Excel, SQL, and potentially BI platforms like Tableau or Power BI. This position is ideal for a recent graduate or an individual early in their career who is eager to learn and grow within a professional environment. The successful candidate will have excellent organizational skills and the ability to communicate findings clearly and concisely. This role is based in our Dallas office, providing direct mentorship and a collaborative team atmosphere. We are committed to fostering the growth and development of our interns, offering them challenging projects and valuable exposure to real-world business challenges.

Responsibilities:

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Support the creation of reports, dashboards, and data visualizations.
• Collaborate with team members to understand data needs and deliver insights.
• Document data sources, methodologies, and findings.
• Assist in ensuring data accuracy and integrity.
• Learn and apply new data analysis techniques and tools.

Qualifications:

• Currently pursuing or recently completed a Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Business Analytics).
• Proficiency in Microsoft Excel.
• Basic understanding of SQL is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies and methodologies.

Our client, a fast-growing analytics firm, is looking for an enthusiastic and detail-oriented Graduate Data Analyst to join their team in **Dallas, Texas, US**. This is an excellent opportunity for a recent graduate or current master's student to gain hands-on experience in data analysis, interpretation, and reporting within a dynamic business environment. You will work closely with senior analysts and data scientists, assisting in the collection, cleaning, and transformation of large datasets. The role involves supporting various projects, developing insightful reports, and contributing to data-driven decision-making processes. This position offers invaluable exposure to industry-standard tools and methodologies in a supportive, on-site setting.

Key Responsibilities:

• Assist in gathering and collecting data from various sources.
• Perform data cleaning, validation, and pre-processing to ensure data accuracy and integrity.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports, dashboards, and visualizations to present findings to stakeholders.
• Support senior analysts in developing analytical models and implementing data solutions.
• Collaborate with team members on data-related projects and tasks.
• Learn and apply industry-standard data analysis tools and techniques.
• Contribute to the documentation of data processes and methodologies.
• Participate in team meetings and contribute ideas for data-driven improvements.
• Assist in ad-hoc data requests and analyses as needed by business units.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in Excel, including pivot tables, VLOOKUP, and data analysis functions.
• Familiarity with SQL for data extraction and manipulation.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must be eligible to work in the US.

This intern position offers a competitive hourly wage and the chance to build a strong foundation in data analytics. Join a vibrant team and kickstart your career in a leading city.

Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their dynamic, fully remote team. This is an exceptional opportunity for a recent graduate or early-career professional to gain hands-on experience in data analysis, interpretation, and reporting within a supportive and growth-oriented environment. You will work closely with senior analysts and various departments to extract, clean, and analyze data from diverse sources, identifying trends and insights that drive business decisions. The role involves developing reports and dashboards, performing statistical analyses, and contributing to data visualization projects. Success in this role requires a strong foundation in analytical thinking, proficiency in data manipulation tools, and excellent communication skills. As a fully remote position, candidates must be self-motivated, disciplined, and possess a reliable internet connection and a dedicated home office setup. You will be expected to collaborate effectively with team members through virtual channels, participate in remote meetings, and maintain consistent communication. The company fosters a culture of continuous learning and provides resources for professional development. We are looking for individuals with a keen eye for detail, a passion for uncovering data-driven stories, and the ability to present findings clearly and concisely. This role is based in Dallas, Texas, US but is performed entirely remotely.

Key Responsibilities:

• Assist in the collection, cleaning, and validation of data from various business systems.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the creation of reports, dashboards, and visualizations using tools like Excel, SQL, and Tableau/Power BI.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Assist in the development and implementation of data quality initiatives.
• Contribute to ad-hoc analytical projects as required.
• Document analytical processes and findings clearly.

Qualifications:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Basic understanding of statistical concepts and data analysis methodologies.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with SQL for querying databases is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent problem-solving and critical-thinking skills.
• Strong written and verbal communication abilities, with the capacity to explain technical concepts to non-technical audiences.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive attitude and a desire to learn and grow in the field of data analytics.

Our client is a dynamic and rapidly growing company looking for an ambitious Junior Data Analyst to join their team in Dallas, Texas, US . This hybrid role is perfect for a recent graduate or early-career professional eager to develop their skills in data analysis, interpretation, and visualization. You will work closely with senior analysts and cross-functional teams to extract valuable insights from complex datasets, contributing to data-driven decision-making across the organization.

Responsibilities:

• Assist in the collection, cleaning, and organization of large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights relevant to business objectives.
• Develop reports and dashboards to visualize data and communicate findings to stakeholders.
• Collaborate with senior analysts to support ongoing data projects and initiatives.
• Conduct exploratory data analysis to uncover opportunities and challenges.
• Ensure data accuracy and integrity throughout the analysis process.
• Support the development and implementation of data models and statistical analyses.
• Learn and utilize various data analysis tools and techniques.
• Assist in the preparation of presentations and summaries of data findings.
• Contribute to the documentation of data processes and methodologies.
• Participate in team meetings and contribute to discussions on data strategy.
• Develop a strong understanding of the business domain and how data can be leveraged to drive success.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in at least one data analysis or statistical software package (e.g., R, Python with libraries like Pandas and NumPy).
• Familiarity with SQL for database querying is essential.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Eagerness to learn and a proactive approach to problem-solving.
• Ability to work independently and as part of a team.
• A foundational understanding of statistical concepts.

This hybrid position requires regular attendance at our Dallas office to foster collaboration and teamwork, with the flexibility of remote work days. We offer a competitive starting salary, comprehensive benefits, and excellent opportunities for professional development and career growth in the field of data analytics.

Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their growing team in **Dallas, Texas, US**. This hybrid role offers the perfect blend of in-office collaboration and remote flexibility, allowing you to contribute effectively while maintaining work-life balance. You will be instrumental in collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. This position is ideal for recent graduates or early-career professionals eager to develop their skills in data science and analytics. You will work closely with senior analysts and various departments to understand data needs, develop reports, and visualize findings. The ideal candidate possesses a strong foundation in statistical analysis, data manipulation, and a passion for uncovering patterns within data. Key responsibilities will include:

• Assisting in the collection, cleaning, and organization of diverse datasets.
• Performing statistical analysis to identify trends, correlations, and anomalies.
• Developing and generating regular reports and dashboards to communicate key metrics.
• Collaborating with team members to interpret data and provide actionable recommendations.
• Utilizing data visualization tools to present findings in a clear and compelling manner.
• Supporting senior analysts in ad-hoc data requests and deep-dive analyses.
• Maintaining data integrity and accuracy across all reporting activities.
• Learning and applying new analytical techniques and tools.
• Participating in team meetings to discuss project progress and findings.
• Contributing to the continuous improvement of data management and analysis processes.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Familiarity with data analysis tools and programming languages such as SQL, Python (Pandas, NumPy), or R.
• Basic understanding of statistical concepts and methods.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good communication skills, both written and verbal.
• Ability to work collaboratively in a team environment and independently when required.
• Eagerness to learn and adapt to new technologies and methodologies.

This is an excellent opportunity for a motivated individual to launch their career in data analytics within a supportive and innovative company. Join our team and help shape data-driven strategies.

Our client, a rapidly growing analytics firm, is seeking a motivated and detail-oriented Junior Data Analyst to join their innovative team in Dallas, Texas . This hybrid role offers the opportunity to gain hands-on experience in data analysis, interpretation, and reporting, contributing to critical business decisions. You will work closely with senior analysts and data scientists, supporting the collection, cleaning, and transformation of large datasets. Your responsibilities will include performing data analysis using statistical methods, creating visualizations to communicate findings, and assisting in the development of reports and dashboards. A strong understanding of SQL, Excel, and data visualization tools is essential. You will be exposed to various analytical techniques and business domains, developing a comprehensive skill set in data science. The ideal candidate possesses a strong quantitative background, a curious mind, and a passion for uncovering insights from data. This role requires excellent problem-solving abilities and a commitment to accuracy. Collaboration is key in this role, as you will be part of a team that values knowledge sharing and continuous learning. You will have the opportunity to contribute to projects that drive business strategy and improve operational efficiency. The hybrid nature of this role allows for a blend of collaborative in-office work and focused remote productivity.
Responsibilities:

• Assist in collecting, cleaning, and validating data from various sources.
• Perform data analysis using SQL, Python, or R to identify trends, patterns, and anomalies.
• Develop and maintain reports, dashboards, and visualizations to present findings.
• Support senior analysts in interpreting data and generating actionable insights.
• Contribute to the development and refinement of data models and analytical methodologies.
• Collaborate with cross-functional teams to understand data needs and requirements.
• Ensure data integrity and accuracy throughout the analysis process.
• Assist in the preparation of presentations and documentation for stakeholders.
• Learn and apply new analytical techniques and tools.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 0-2 years of experience in data analysis or a related field.
• Proficiency in SQL for data extraction and manipulation.
• Strong skills in Microsoft Excel, including pivot tables and advanced formulas.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Basic understanding of statistical concepts and analytical techniques.
• Excellent problem-solving and critical-thinking skills.
• Strong attention to detail and commitment to accuracy.
• Good communication and teamwork abilities.
• Ability to work effectively in a hybrid work environment.