Senior Data Analyst

ABOUT ADACTION

Since AdAction’s founding in 2013, we’ve been a leader in performance based mobile app marketing. We work with well-known brands and app developers, focusing on providing premium users at scale to clients worldwide. Our team continually strives to provide the best service and solutions to our clients through collaborative partnerships, innovative ideas and strategic decision making.

Our fast-paced and collaborative environment inspires us to create, think, and challenge each other in ways that make our products and teams better. AdAction is looking for employees who thrive in an autonomous work environment, seek out ways to meaningfully contribute to our shared success and embrace growth both personally and professionally.

We are a remote first company with talent centers in Denver, Austin and Chicago. Come join a diverse community of highly motivated and growth-oriented individuals, looking to make an impact in the AdTech space.

Our employees also enjoy perks and benefits like:

• Health, vision, and dental insurance

• Up to 6% 401k match with no vestment period
• Generous PTO + company holidays
• 16 weeks paid parental leave
• Flexible and remote first work culture
• Team outings and happy hours
• Weekly UberEats credit
• Home office stipend
• Annual learning and development stipend

• Annual wellness stipend

POSITION SUMMARY

We are seeking a highly motivated and proactive individual to join our team as a Senior Data Analyst. This role plays a crucial part in our company's growth and modernization efforts, with ample opportunities for professional development and advancement. The ideal candidate will possess strong technical skills, a passion for problem-solving, and the ability to thrive in a dynamic and ambiguous environment.

RESPONSIBILITIES

• Contribute to the modernization efforts of our data processes, including the transition to frameworks such as Airbyte, Airflow, and DBT.

• Collaborate with cross-functional teams to automate and streamline BI processes, eliminating reliance on adhoc reports.
• Proactively identify opportunities to enhance data analytics processes and systems, recommending and implementing solutions to optimize efficiency and effectiveness.
• Utilize technical expertise in DBT, Airflow, Python, Git, AWS, and various data visualization tools (e.g., Tableau, Looker, QuickSight) to enhance data analytics capabilities.
• Work closely with engineers to ensure seamless integration of BI processes within our data pipeline framework.
• Act as a strategic advisor to cross-functional teams, leveraging data analysis to provide actionable recommendations and insights that drive informed decision-making and support long-term business objectives.
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Stay abreast of industry trends and emerging technologies in data analytics, continuously exploring new methodologies and tools to drive innovation and maintain a competitive edge.

EXPERIENCE & QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

• 3+ years of experience in business intelligence, data analysis, or a similar role.
• Proficiency in DBT (or familiarity with stored procedures and data warehouse operations), Airflow, Python, Git, and AWS.
• Experience with data visualization tools such as Tableau, Looker, or QuickSight.
• Familiarity with databases including Redshift, Snowflake, and Postgres.
• Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

ADDITIONAL INFORMATION

• This role offers significant opportunities for growth and advancement within the company, including the potential to transition into roles focused on data science and machine learning.

• We are looking for individuals who are proactive, driven, and able to navigate ambiguity with ease.

• The successful candidate will join a dynamic team dedicated to driving innovation and excellence in data analytics.

• Compensation will be determined by the education, experience, knowledge, and abilities of the applicant.