Demo

Lead Data Analyst

Aegistech
Baltimore, MD Full Time
POSTED ON 3/24/2025
AVAILABLE BEFORE 4/23/2025

Job Description :

Day-To-Day Responsibilities :

  • Create visibility of operations and product performance : Measuring performance against assumptions is how we learn and improve. As Lead Data Analyst, it will be your responsibility to equip teams with the data they need to evaluate the performance of their processes and products.
  • Drive improvement in business : You will proactively identify opportunities and prioritize your work to help achieve business priorities. You will work directly with your teammates across the business to educate them on insights and drive changes in their strategy.
  • Be a trusted strategic partner : Data Science and analytics support all teams, meaning it's critical that you build and maintain lines of communication with the team's driving metrics. You will embed yourself with these teams, build trust, learn their processes, and use your analytical skills to help them improve.
  • Data Engineering : We are a newer team at a growing company, and you'll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Collaborate with Analytics Engineering to ensure data workflows result in clean, optimized data models.
  • Evaluate & Produce Quality : Good code is reviewed code. You will ensure your and your teammates' code is easy to understand and free from errors and bias and is easy to understand.
  • Requirements

Basic Qualifications :

  • 6 years of experience in business intelligence, analytics, or decision scientist roles, with at least 3 years of experience working directly with consumer data on marketing, sales, delivery of service, and retention problems.
  • Experience with BigQuery, Snowflake, or similar data warehouse solutions.
  • Proficiency in SQL, DBT, Google Sheets, and version control.
  • Proven ability to work both independently and as part of a team.
  • Experience collaborating with Analytics Engineers to create modular, highly optimized data models.
  • Experience collaborating with Data Scientists and Machine Learning Engineers to solve complex predictive problems.
  • An expert at building rapport and trust with business leaders and cross-functional teammates.
  • Proficient at investigating and documenting business processes and user flows.
  • Strong understanding of core consumer tech businesses and the metrics that matter to them, including LTV, retention, CAC, RAC, ARR, ARPC, margin, NPS, CSAT, and behavioral metrics.
  • Experience working with data from Salesforce CRM.
  • Experience working with behavioral data from websites and email tracking tools such as Google Analytics, Segment, and Iterable.
  • Familiar with best practices in secure data handling and customer data privacy.
  • Preferred Qualifications :

  • Prior experience in the financial planning industry
  • Prior experience in the consumer technology industry
  • Proficiency with Python and Airflow
  • Experience building reports in scriptable BI tools like Streamlit or Dash
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