[HelloConnect] Product Data Analyst (SQL/Python)

At HelloConnect, you will be part of a dynamic team in Inoza tower, BGC that embraces innovation and leverages advanced technology to create exceptional experiences. Our culture is built on collaboration, continuous learning, and a commitment to excellence. You’ll have the opportunity to work on impactful projects, ...

The Product Analyst, will take on a key responsibility in our organization make informed decisions by transforming data into actionable insights. In this role, you will use analytical and technical skills including strong Python and SQL knowledge to explore data, uncover trends, and deliver recommendations that driv...

We’re looking for passionate individuals who can bring their unique skills and ideas to the table. Even if you don't meet every requirement but believe you’d excel in this role, we’d love to hear from you!

We’re looking for passionate individuals who can bring their unique skills and ideas to the table. Even if you don't meet every requirement but believe you’d excel in this role, we’d love to hear from you!
Support product and business decision-making by translating requirements into clear analytical questions and delivering actionable insights.
Perform in-depth analysis using SQL, Python, and statistical techniques to evaluate product performance, user behavior, and business metrics.
Build data pipelines, automation scripts, and analytical tools to streamline analysis processes.
Create self-service dashboards and reports when appropriate, with the primary focus on generating insights and recommendations.
Ensure data accuracy and integrity by applying robust validation and quality checks.
Analyze A/B tests and product changes to measure impact and inform product decisions.
Collaborate with stakeholders to present findings, guide discussions, and recommend next steps based on data.
Maintain comprehensive documentation for analytics projects, tools, and methodologies.
Take ownership of analytical deliverables, ensuring they remain accurate, relevant, and aligned with evolving business needs.
Provide ad-hoc analyses and deep dives on strategic questions from leadership and cross-functional teams.

Proficient in SQL for data extraction, transformation, and analysis.
Experienced in Python (Pandas, NumPy, Scikit-learn, etc.) for data analysis, modeling, and automation.
Solid understanding of statistical methods and A/B testing for experimental analysis.
Skilled in using data visualization tools (e.g., Tableau, Power BI, Looker) to create clear and insightful dashboards.
Experienced in building and maintaining data pipelines and ETL processes for efficient data management.
Strong ability to translate business questions into analytical frameworks and structured problem-solving approaches.
Proven experience in analyzing product performance, user behavior, and business metrics to identify trends and opportunities.
Adept at generating actionable insights and data-driven recommendations from complex datasets.