Remote Senior Product Data Analyst

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Description:

  • As a Senior Product Data Analyst at Apptegy, you will play a vital part in data management and product development, ensuring that data collection, analysis, and reporting align with our business goals.
  • You will collaborate with cross-functional teams to enhance data quality, drive insights, and prioritize product initiatives.
  • Your responsibilities will include collaborating on all aspects of data collection, interpretation, and visualization to support informed decision-making.
  • You will acquire data from primary and secondary sources, maintaining and organizing databases for accuracy and reliability.
  • You will develop and implement an ongoing data reporting structure, including performance dashboards to monitor key metrics.
  • You will identify, analyze, and interpret trends or patterns in complex data sets to inform product development and improvements.
  • You will perform strategic analysis to support business case development and strategic decision-making within the executive leadership team and board of directors.
  • You will monitor performance and quality assurance plans to identify potential improvements and enhance overall data quality.
  • You will develop process improvements and execute data cleanup measures to ensure data integrity and maintain records of original and corrected data.
  • You will define data quality standards and ensure adherence across teams while continuously pushing the limits to optimize data processes.
  • You will assist with planning and scoping for development teams, helping to prioritize the product backlog based on data insights.
  • You will monitor new features and functionality to ensure our products are appealing, usable, and valuable for end users.

Requirements:

  • You must have completed a four-year degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field, or possess comparable, continuous work experience.
  • You should bring 3-5 years of proven experience in data analysis and visualization, ideally at a SaaS-based company.
  • You need to have strong technical proficiency in data models, database design development, data mining, and segmentation techniques, along with knowledge of statistics and experience using tools like Excel, SPSS, or SAS for data analysis.
  • You must be highly skilled in SQL for queries, and proficient in reporting tools like Tableau to present findings effectively.
  • Familiarity with product management, the Software Development Life Cycle (SDLC), Agile methodologies, and issue-tracking software like Jira is required.
  • You should have experience with product analytics tooling, including Amplitude, Full Story, Mixpanel, or Google Analytics.
  • Experience with data visualization tools such as Tableau, Looker, or similar tools is necessary.
  • You must be able to assess situations, make informed decisions with limited or diverse information, and take responsibility for outcomes.
  • Strong communication skills are essential, and you should be able to adapt your approach to collaborate effectively with multiple teams across the company.
  • A natural curiosity for learning, the ambition to explore the unknown, and the ability to quickly pivot based on market, client, or company needs are important traits.
  • Experience or familiarity with R, Python, and/or Julia, as well as prior exposure to the marketing ecosystem, is a plus.

Benefits:

  • Apptegy offers comprehensive medical, dental, vision, and life insurance coverage.
  • You will have access to a Retirement 401(k) with employer match.
  • Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) are provided.
  • Mental Health Reimbursement is included in the benefits package.
  • The company offers unlimited paid time off, including seasonal (December) company-wide time off.
  • Paid parental and medical leave is also part of the benefits offered.
  • Apptegy values thoughtfulness and high performance in all candidates as they progress through the interview stages.
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