RunPod · 19 hours ago

Data Analyst

United States

Full-time

Remote

Mid Level

$140K/yr - $160K/yr

3+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Cloud Infrastructure

Insider Connection @RunPod

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.

Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

Identify, analyze, and interpret trends or patterns in complex data sets.

Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.

Collaborate with engineering teams to enhance data collection and analysis processes.

Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.

Stay abreast of industry trends and best practices in data analysis and data science.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisSQLPythonRData VisualizationData WarehousingModeTableauPower BISnowflakeAthenaRedshiftMachine Learning KnowledgeAI/ML Industry Experience

Required

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

At least three years of experience in a data analytics role, preferably with user and machine data exposure.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Proficiency in data analysis tools and programming languages such as SQL, Python, and R.

Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).

Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift).

Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.

Strong problem-solving skills.

Successful completion of a background check