5 Data Analysts jobs in Knoxville

Since 2010 Synergisticit has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries.
please check the below links to see success outcomes, salaries of our candidates .




We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023









All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Tombras, a 400+ person, full-service, national advertising and digital transformation agency with, is seeking a Retail Media Network Data Analyst. We're invested in building and maintaining a market-leading position in the rapidly evolving field of retail media. We are committed to transforming the digital landscape by enabling retailers and brands to connect with consumers through innovative, data-driven advertising solutions.

The Retail Media Network Data Analyst plays a crucial role in optimizing and monetizing retail media networks by providing in-depth quantitative analysis and insights. This position focuses on evaluating the performance of advertising campaigns across various platforms, analyzing data to uncover trends, and driving actionable strategies that enhance advertising effectiveness and ROI for both advertisers and the retailers monetizing their ecommerce platforms. The Retail Media Network Data Analyst will collaborate closely with internal teams, stakeholders, and external partners to ensure the successful execution of data-driven initiatives that align with the company's business objectives.

Where you'll be working: Atlanta or Knoxville. Relocation assistance may be provided.

What you will be doing:

• Data Analysis and Reporting:
• Analyze large datasets to identify trends, patterns, and insights related to retail media network performance.
• Develop and maintain dashboards to monitor key performance indicators (KPIs) such as Return on Ad Spend (ROAS), click-through rates (CTR), conversion rates, and overall campaign effectiveness by ad type, ad format, geography, and advertiser.
• Provide regular and ad-hoc reports to stakeholders, highlighting key findings and recommendations for optimizing the program to increase revenue for our retail clients who manage their own Retail Media Networks.
• Campaign Performance Evaluation:
• Evaluate the success of advertising campaigns by analyzing media performance data across various channels including search, display, and programmatic advertising.
• Collaborate with media buyers and campaign managers to optimize media strategies based on data-driven insights.
• Identify opportunities for improving campaign performance and implement strategies to enhance ROI.
• Strategic Collaboration:
• Work closely with the Retail Media Channel Managers and other internal teams to align data insights with overall media strategies.
• Collaborate with external partners, such as ad tech vendors and retail partners, to ensure data integrity and consistency across platforms.
• Support the development and execution of test and learn strategies to explore new approaches and validate innovative ideas.
• Data Quality and Integrity:
• Ensure the accuracy and reliability of data by conducting thorough data validation and quality checks.
• Address data discrepancies and work with data engineering teams to resolve any issues affecting data integrity.
• Continuously monitor data quality and implement processes to maintain high standards.
• Stakeholder Communication:
• Clearly and concisely communicate complex data insights to both technical and non-technical stakeholders.
• Prepare and present detailed reports and presentations to senior leadership, providing actionable recommendations based on data analysis.
• Act as a subject matter expert on retail media network data, offering guidance and support to internal teams.

• 3+ years of experience in data analysis, preferably within the retail media or digital advertising sectors.
• Experience in Python, R, SQL or other relevant programming languages, as well as experience with: Spark libraries, Scala programming, Experience with distributed computing and experience with Hadoop and cloud databases
• Strong understanding of data warehousing, ETL processes, and data visualization tools (Tableau, Power BI, DOMO, etc,)
• Demonstrated ability to translate complex data into actionable insights.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Strong attention to detail and a proactive approach to problem-solving.
• Bachelor's or Master's degree in Computer Science, Engineering, Marketing, or a related field; MBA is a plus.
• Preferred Qualifications:
• Experience working with retail media networks, DSPs and ad servers or digital advertising platforms (e.g., Google Ads, Amazon DSP, Walmart Connect, Orange Apron, Kevil, Criteo, The Trade Desk or others).
• Knowledge of marketing and advertising metrics, including ROAS, CTR, and conversion rates.
• Familiarity with data management processes, ETL pipelines, and data governance principles.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
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• Works on a variety of projects analyzing marketing, admissions, enrollment, academic program, and other student data.
• Designs and maintains automated reports and interactive dashboards to inform business decisions using Microsoft Power BI, Google Looker, RStudio, Tableau, and other data visualization applications.
• Organizes results and conclusions of data analysis for use and presentation by departmental leaders.
• Develops overall subject matter expertise regarding internal and external data sources that support departmental mission.
• Provides guidance and technical advice to departmental customers in the areas of data visualization and reporting.
• Remains current and learns new skills and software applications as tools and data analysis needs change over time.
• Coordinates testing of new releases of data analysis and visualization applications to identify impacts to and across data libraries and/or databases to ensure data integrity.

• Designs and maintains complex SQL queries to pull data from institutional relational databases that can be packaged as data sources for data analysis and visualizations. Joins disparate data sources and establishes procedures to conduct regular data sampling and full data comparison on divisional and other data sets. Automates repetitive tasks by writing clean and tested code that can be maintained and extended by other analysts.
• Contributes to data analysis and data visualization needs via ETL (extract, transform, load) procedures to translate raw data into user-friendly formats, trend analyses, static and interactive graphs.
• Collects and assists with the analysis of relevant data from external data sources such as the U.S. Department of Education Integrated Postsecondary Education Data System (IPEDS).
• Merges data from external and internal databases and makes correlations across merged data sets.
• Uses independent judgment to research and problem-solve data collection discrepancies and irregularities.

• Timely and accurate generation and dissemination of standard and on demand reports for use by departmental units. Must be able to respond ad hoc to requests accurately and quickly.
• Automates repetitive (standard) reports.
• Consults with clients to understand data needs and develops tools to collect and deliver requested information.
• Develops and maintains procedures to improve accuracy and efficiency of data querying, report generation, and data dissemination processes.
• Identifies data discrepancies and addresses data quality issues to ensure consistency and integrity of data collection and reporting.
• Maintains departmental documentation for data definitions, a query catalog, sources of data and operation procedures for routine departmental processes.

• Education: Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Computational Social Science, or a related field.
• Experience: Minimum of one (1) years of experience in data analysis and visualization, reporting, or statistical analysis.

• Education: Master's degree in Business Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Computational Social Science, or a related field.
• Experience:
• Two or more years of experience in analytics and data visualization, reporting, or statistical analysis.
• Experience working in a higher education setting.
• Experience working with marketing, admissions, enrollment, academic program, and other student data.
• Experience with complex data sets including manipulating, merging, restructuring, and analyzing large data sets.
• Demonstrated successful management of multiple short-term and long-term projects, independent completion of projects with accuracy, thoroughness and creativity, and timely meeting of deadlines under pressure.
• Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment visa status.

• Knoxville, TN. This position does have the potential for a hybrid working capacity.

• Pay range $65,000 - $75,000
• UT market range: MR 12
• Find more information on the UT Market Range structure here
• Find more information on UT Benefits here

• For full consideration, applicants must attach a letter of interest, resume, and the name, address, email, and phone number of three professional references, in addition to completing the applicant file to the Human Resources online application system, Taleo. This position does have the potential for a hybrid working capacity.
• Screening of applicants will begin immediately and continue until the position has been filled. DL_UT