Description

We are looking for a dynamic Product manager to support greytHR by taking up new integration ideas and bringing them to life This will be a key role in our organization as it will be bridging greytHR with internal as well as external stakeholders while including end-user needs This means you should not only be able to own high-level strategic initiatives, but also roll up your sleeves, dig in and get the job done Position Purpose Identify trends and opportunities for growth through analysis of complex datasets Create best-practice reports based on data analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Responsibilities Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Required skills and qualifications Two or more years of experience as a data analyst Proven analytics skills, including evaluation and visualization Technical writing experience in relevant areas, including queries, reports, and presentations Strong SQL and Excel skills, with aptitude for learning other analytics tools Preferred skills and qualifications bachelors degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Experience with Product Analytics tools such as Google Analytics. Experience with statistical analysis tools Experience with BI tools like Superset Strong experience with SQL and JavaScript Experience in data visualization and presentation. Proven success in a collaborative, team-oriented environment

Role and Responsibilities

• We are looking for a dynamic Product manager to support greytHR by taking up new integration ideas and bringing them to life This will be a key role in our organization as it will be bridging greytHR with internal as well as external stakeholders while including end-user needs This means you should not only be able to own high-level strategic initiatives, but also roll up your sleeves, dig in and get the job done Position Purpose Identify trends and opportunities for growth through analysis of complex datasets Create best-practice reports based on data analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Responsibilities Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Required skills and qualifications Two or more years of experience as a data analyst Proven analytics skills, including evaluation and visualization Technical writing experience in relevant areas, including queries, reports, and presentations Strong SQL and Excel skills, with aptitude for learning other analytics tools Preferred skills and qualifications bachelors degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Experience with Product Analytics tools such as Google Analytics. Experience with statistical analysis tools Experience with BI tools like Superset Strong experience with SQL and JavaScript Experience in data visualization and presentation. Proven success in a collaborative, team-oriented environment