Data Analyst

Buxton Co; Fort Worth (TX); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Audiense, a leading analytics-to-action platform, seeks a data analytics professional to conduct advanced analyses, build dashboards, and standardize data for client solutions across retail, restaurant, and healthcare sectors.

You will support cross-functional teams, communicate findings to clients, and develop custom analytic solutions while collaborating with Buxton's location intelligence assets to help clients make smarter, faster decisions.

Qualifications

• BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field. Master’s degree is a plus.
• Outstanding analytical skills, familiarity with statistical concepts, and ability to solve complex problems
• An innovative, positive, and self‑directed attitude. Interested in finding solutions to problems.
• Ability to operate effectively in a client-facing, multi‑agency/vendor environment
• Ability to develop and maintain relationships with clients and to deliver excellent customer service
• Experience working with python or R
• Proficiency in Excel, Word, and PowerPoint
• Time management skills and ability to complete work on a deadline
• Experience in Quantitative Analytics is a plus
• Experience with SQL or equivalent academic experience is a plus

Responsibilities

• Support a cross-functional team in the development of predictive models to aid in real estate and marketing decisions for retail, restaurant, and healthcare clients.
• Analyze consumer data, including frequency, valuation, expenditure habits, and other patterns of behavior.
• Analyze site location data, including trends identified by site characteristics, site types, key performance indicators, and any other qualitative findings.
• Standardize data for analysis and perform data verification to ensure accuracy and completeness of client data received.
• Build and customize dynamic reports and dashboards
• Work on ad hoc analyses and custom analytic solutions.
• Communicate project scope, progress, and findings within your internal team and directly with clients.
• Engage directly with clients to deliver analytic solutions, provide client support of their solutions, and work with their key stakeholders, real estate teams, and marketing teams to help them solve problems within their organizations.
• Collaborate with cross functional team to identify growth opportunities for existing client accounts

Skills

Analytical skills

Client-facing

Python or R

Excel

PowerPoint

SQL

Education

BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field

Master’s degree is a plus

Tools

Excel

Word

PowerPoint

Job description

Audiense is a next-generation analytics-to-action platform that helps organizations deeply understand and strategically activate their consumers. We’ve brought together the strengths of three category-leading brands — Buxton, Elevar, and Audiense— into one integrated, insight-driven solution:

• Buxton by Audiense – 30+ years of predictive modeling and location intelligence expertise.
• Elevar by Audiense – Industry-leading eCommerce tagging, event tracking, and revenue attribution tools.
• Audiense – Award-winning audience segmentation and social consumer intelligence for global brands.

Together, we help brands across industries, from retail to CPG to media, make faster, smarter, and more confident decisions that fuel real-world growth.

If youeat, sleep,andbreathedata, our data analytics position may be for you. At audiense, we’re passionate about data and how it can help change the way our clients do business. Our analysts’ responsibilities are multifaceted and include data mining, business intelligence, and support of client accounts. In this role, you will conduct advanced analyses, create custom reporting/dashboards, and standardize all data used for developing client solutions. Additionally, you’ll serve an important role in supporting client accounts by keeping clients engaged with Buxton, delivering analytical solutions, and communicating with key client stakeholders on a range of topics. We’re looking for a natural and innovative problem solver who can’t stop their curious mind and has a desire to dig deep for insights that answer our client’s business questions.

What you’ll do

• Support a cross-functional team in the development of predictive models to aid in real estate and marketing decisions for retail, restaurant, and healthcare clients.
• Analyze consumer data, including frequency, valuation, expenditure habits, and other patterns of behavior.
• Analyze site location data, including trends identified by site characteristics, site types, key performance indicators, and any other qualitative findings.
• Standardize data for analysis and perform data verification to ensure accuracy and completeness of client data received.
• Build and customize dynamic reports and dashboards
• Work on ad hoc analyses and custom analytic solutions.
• Communicate project scope, progress, and findings within your internal team and directly with clients.
• Engage directly with clients to deliver analytic solutions, provide client support of their solutions, and work with their key stakeholders, real estate teams, and marketing teams to help them solve problems within their organizations.
• Collaborate with cross functional team to identify growth opportunities for existing client accounts

What you bring

• BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field. Master’s degree is a plus.
• Outstanding analytical skills, familiarity with statistical concepts, and ability to solve complex problems
• An innovative, positive, and self‑directed attitude. Interested in finding solutions to problems.
• Ability to operate effectively in a client-facing, multi‑agency/vendor environment
• Ability to develop and maintain relationships with clients and to deliver excellent customer service
• Experience working with python or R
• Proficiency in Excel, Word, and PowerPoint
• Time management skills and ability to complete work on a deadline
• Experience in Quantitative Analytics is a plus
• Experience with SQL or equivalent academic experience is a plus