Data Analyst (100% Remote, Anywhere in the USA)

ABOUT THE ROLE

We are seeking a detail-oriented and proactive Data Analyst to join our growing team. In this role, you will leverage your expertise in data analysis and data profiling to work closely with business stakeholders and product managers, identifying key data and metrics to drive strategic decision-making. You will also act as the bridge between data engineering and other product analysts, ensuring the seamless delivery of reliable data to internal teams such as Sales, Marketing, Product, and Operations.

The salary range for this role is $90,000 - $110,000. Pay offered may vary within the posted range based on a number of factors including but not limited to job-related knowledge, skills, experience, and location.

HOW YOU’LL MAKE AN IMPACT

• Stakeholder Collaboration: Work with business stakeholders and product managers to gather and understand their data needs and define key metrics that align with business objectives.

• Data Research and Profiling: Conduct thorough research and data profiling to identify relevant data sources, data elements, and existing queries and reports. Assess data quality, integrity, and relevance for various business applications.

• Documentation and Requirements Gathering: Collaborate with data product managers and data engineers to assist in writing clear and comprehensive requirements and documentation for data-related projects.

• User Acceptance Testing (UAT): Design and execute UAT plans to validate data products against business requirements. Ensure that deliverables meet quality standards before deployment.

• Reporting and Analysis: Develop ad hoc analyses and maintain dashboards and reports to communicate findings and insights to stakeholders. Assist in interpreting complex data and trends. Support internal teams by providing training on data tools and creating documentation for self-service analytics.

• Continuous Improvement: Recommend process improvements and strategies for enhancing data collection and analysis practices within the organization.

WHAT YOU’LL NEED

• Education: Bachelor’s degree in Data Science, Data Analytics, Statistics, Computer Science, Business Administration, or a related field.

• Experience: 4+ years of experience in data analysis, preferably in a business or product management context.

• Programming: Proficient in Python and SQL, with the ability to independently write scripts for data collection, transformation, and analysis.

• Business Intelligence Tools: Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar platforms is essential.

• Cloud-Based Platforms: Experience with cloud-based data platforms such as Snowflake, BigQuery, or AWS Redshift is required.

• Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets and derive actionable insights.

• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

• Team Player: Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously.

HOW YOU’LL LEVEL UP

• Experience in the ad-tech industry is a plus.
• Knowledge of digital advertising metrics, including impressions, clicks, conversions, CTR, and ROAS.
• Familiarity with real-time analytics and streaming data tools like Kafka or Spark.
• Experience with data modeling tools (e.g., dbt, LookML) and relational databases.