Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Fiverr, and OneWheel—to grow their business through linear and streaming TV. We combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, digital-like experience.
Named one of the Hottest Ad Tech Companies by Business Insider, and Best Places to Work by Inc. Magazine for the third consecutive year, our team includes founders and leaders from Google, Microsoft, Stripe, Shazam and Facebook. We are growing rapidly as we accelerate our mission to automate the complex landscape of managing and measuring television advertising. We have a long-term goal to make marketing on TV available to businesses of any size.
As a Data Quality Analyst, you will have the chance to improve the quality of our data and experience for Tatari clients. You will develop compelling and actionable insights through quantitative analysis, innovative thinking, and storytelling with data. This role collaborates closely within a team of highly experienced, analytically-inclined professionals, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
Responsibilities:
- Perform investigations that require a deep understanding of relationships among multiple data sources to identify systemic data quality issues and implement solutions.
- Build and perform tests on large datasets to determine data quality and integrity.
- Define and automate processes; document and maintain efficient procedures, adhering to best practices in data analysis and collection.
- Evaluate system performance and design, and monitor its effect on data quality.
- Collaborate closely with cross-functional teams to analyze TV marketing campaigns. Build reports and data visualization to support client services and media buying teams.
- Provide ad-hoc data analysis, use complex data-intensive analysis to identify and forecast trends, conduct deep-dive quantitative analyses to optimize KPIs.
- Collaborate with engineers to improve data collection and storage processes.
Qualifications:
- 1+ year of relevant work experience, but also open to new grads.
- Intermediate to advanced experience in Data Manipulation Software (e.g., SQL, Python, Pandas).
- Steadfast focus on the details, while keeping strategic priorities top-of-mind.
- Radiate positivity and possess a “can-do” attitude.
- Strong presentation skills, with the ability to translate data into business insights.
- A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued.
- Strong strategic thinking capabilities and project management skills.
- Proven passion for the data quality discipline.
- Extremely meticulous in approach to work.
- Outstanding attention to detail.
- Bachelor’s in a technical field (e.g., Computer Science, Mathematics, Physics).
Nice to have:
- Advanced degree in a technical field.
- Experience with reporting tools (such as Tableau, Looker, etc.).
- Ability to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques.
- Industry experience a plus.
Compensation and Benefits:
- Competitive salary ($75,000 - $85,000 annually).
- Equity compensation.
- 100% health insurance premium coverage for you and your dependents.
- Unlimited PTO and sick days.
- Snacks, drinks, and catered lunches at the office.
- Team building events.
- $1000 annual continued education benefit.
- $125 pre-tax monthly stipend to spend on whatever you want.
- Annual mental health awareness app reimbursement.
- FSA and commuter benefits.
- Monthly Company Wellness Day Off (During WFH).
- Hybrid RTO, 2 flex days a week in 2024, likely to increase to 3 days after but no more than that. This is an in-office position.
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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