Data Insights Specialist
3 weeks ago
We're redefining customer lifecycle management at Propel with our AI-powered platform. Our mission is to deliver exceptional results for lifecycle marketers. With three years of industry expertise and a portfolio of over 100 clients, we empower businesses to achieve sustainable growth through data-driven retention strategies.
Job DescriptionAbout the Role:
As a Product Analyst, you will be working closely with clients in the US, analyzing data, and ensuring its quality and usability across different teams. Your work will support both Data Engineering and Analysis/Insights, contributing directly to the success of our clients in the US.
Key Responsibilities:
- Data Quality: Ensure data points and events that flow to our database (Redshift or Mixpanel) are validated. Ensure there is clarity on the specific product actions each data point is mapped to.
- Data Engineering: Set up “analysis-ready” tables and views to make querying easier and more efficient. Support the creation of data pipelines to enable seamless access to important metrics.
- Business Intelligence: Visualize data in a way that an end-user can easily interpret and ask questions. Assist the BI team in translating product data into actionable insights.
- Analysis and Insights: Interpret product data to understand trends and exceptions. Storytell on outcomes to drive understanding across product, business, and marketing teams.
- Feedback Loop with Product Team: Work closely with the Product team to flag gaps, issues, and areas of improvement. Provide recommendations for actions based on insights from data analysis.
Required Competencies:
We're looking for someone with strong experience with data analysis tools, specifically Mixpanel and SQL. Ability to work in EST time zone (5:30 PM - 2:30 AM IST) is required. Previous experience in a consumer services or product-led company is highly desirable. Strong storytelling skills, with the ability to present data in an engaging and understandable way, are also essential.
Qualifications:
Bachelor's degree in a related field such as Data Science, Computer Science, Business, or equivalent experience. 3+ years of experience in product analytics, data engineering, or business intelligence. Proven ability to work with databases, data pipelines, and visualization tools.
What You Get:
We offer a competitive compensation package, including extra compensation for working in EST timings. Opportunity to work full-time with an exciting and growing retention company. Flexible remote working arrangements, aligned with EST hours. The chance to work with visionary teams shaping the future of retention.
Estimated Salary: $120,000 per annum, depending on experience and qualifications.
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