Dollar General, a discount chain store, stands to serve their customers and its community. Headquartered in Goodlettsville, Tennessee, Dollar General Corporation celebrates 75 year
Media Network Measurement & Reporting Analyst
Location
United States
Posted
2 days ago
Salary
$70K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Media Network Measurement & Reporting Analyst
Dollar General
Role Description The Measurement & Reporting Analyst supports the development, validation, and execution of measurement and reporting solutions for the DG Media Network. This role partners cross-functionally with Data Science, Engineering, Product, and external teams to translate business needs into scalable measurement and reporting capabilities. The Analyst will assist in developing, testing, and launching measurement and reporting capabilities, while providing support to DG Media Network’s internal teams to drive adoption and scale usage. - Partner with Data Science, Engineering, IT, DGMN teams, and third-party partners to support the development and enhancement of media measurement and reporting capabilities. (25%) - Contribute to the testing, validation, and quality assurance of reporting outputs, dashboards, and data pipelines to ensure accuracy and consistency. (25%) - Translate business needs into clear requirements for data science and data engineering teams. (25%) - Support the rollout adoption of measurement and reporting solutions across Operations, Insights, and Sales teams with documentation, resources, and training materials. (10%) - Gather and synthesize feedback from stakeholders to identify opportunities to improve reporting tools and processes. (10%) - Assist with ad hoc reporting requests to support product development and CPG client needs. (5%) Qualifications - Foundational understanding of statistical concepts to ensure the accuracy and reliability of performance data and to provide actionable insights. - Understanding of sales attribution across various touchpoints in the customer journey, including view-through conversions, to measure an ad’s true impact. - Experience with SQL and statistical programming languages such as Python or R. - Proficiency in Microsoft Excel and familiarity with data visualization tools (e.g., Tableau). - Excellent written and verbal communication skills to translate complex analytical and technical findings into clear, concise, and compelling narratives for non-technical audiences. - Highly organized and detail-oriented self-starter with the ability to drive progress and contribute to solving business problems. - Demonstrates a growth-oriented and collaborative mindset. - Bachelor’s degree in quantitative field (e.g., Statistics, Data Science, Economics, Computer Science). - 0–2 years of experience in data analysis, media measurement, or reporting. - 0-2 years of marketing, media, digital advertising, or e-commerce experience preferred. - Familiarity with collaborating on technology projects or working with IT teams. - Strong analytical, organizational, and communication skills. Requirements - Familiarity in complex measurement methodologies, including multi-touch attribution (MTA), market mix modeling (MMM), and designing/analyzing incrementality tests (e.g., A/B tests, geo-experiments) to prove media effectiveness. - Experience with IT product management. - Proven ability to work cross-functionally with technical and non-technical teams. Benefits - This is a Remote role. - Compensation is $70,000.
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D2BAn Australian home building company specializing in the construction of quality residential properties. The team focuses on delivering well-designed homes with efficient project management, accurate costing, and strong collaboration with suppliers and contractors.
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EveThe only legal AI that works your whole case – your way
About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. 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If a candidate is in the Bay Area, they will work in a hybrid capacity in our office in San Mateo 3 days per week Compensation Base + Equity Tier 1: Bay Area $140,000 - $180,000 Tier 2: Denver, Chicago, Phoenix, Dallas, Houston, Atlanta, Austin, Charlotte: $120,000 - $160,000 Tier 3: Other $110,000 - $150,000 Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate. US Base Salary Range $110,000—$160,000 USD Benefits 💰 Competitive Salary & Equity 💹 401(k) Program with Employer Matching ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚗 Commuter Benefits* 🧑💻 Autonomous Work Environment 🖥️ Workplace Setup Reimbursement 🏠 Telecomm Stipend 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings 🥪 In office Perks* *In office employees only Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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