Product Analyst
Bengaluru, Karnataka, India
MoEngage
Execute your cross channel marketing strategy with MoEngage’s insights-led customer engagement platform. Leverage the power of personalization with MoEngage.Location: Bengaluru,Karnataka,India
About MoEngage
MoEngage is an insights-led customer engagement platform, trusted by 1,200+ global consumer brands. As a Great Place to Work Company we are a young, fast-paced and intelligent customer engagement platform that fosters a culture of innovation, ownership, freedom, and fun while building future-ready technology products. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyzes billions of data points generated by customers and their devices in order to predict their behavior and engage them at every touchpoint throughout their lifecycle with personalized communication.
In just eight years since our inception, we earned the chance to work with leading Fortune 500 brands such as Deutsche Telekom, Samsung, Ally Financial, Vodafone, and McAfee along with internet-first brands such as Flipkart, Ola, OYO, Bigbasket, and Sharechat, with a global presence that encompasses 35 countries. We currently have offices in San Francisco, Boston, London, Dubai, Ho Chi Minh city, Bangkok, Kuala Lumpur, Singapore, Sydney, Vietnam, Berlin, Jakarta, and Bengaluru.
The care we give to our customers is quite high! Our achievement of top service and support ratings in Gartner's Magic Quadrant, Gartner Peer Insights, and G2 Summer Reports is a testament to that. Another commendable quality is our people-centric culture, as we have recently been included in Battery Ventures' top 25 private cloud computing companies. As recognized by the DivHERsity Awards, we are one of the top 20 diversity companies in the world, while the Economics Times names us as one of the Top Organizations for Women.
About the Role of Product Analyst:
The Product Analyst at MoEngage is a part of the Product Team and works closely with the Product & Customer facing teams to deep dive into product related problems and present data driven insights for improving product performance, usage and aid in strategic decision making.
Responsibilities:
- Develop and maintain the ETL process and ensure accurate data is readily available
- Collaborate with Product & Engineering teams to define and track product usage and product performance metrics
- Build, Automate, Evolve & Maintain the BI suite to cater to teams across the organization
- Keep the data pipelines efficient and evolving along with the Product
- Work closely with Product Managers and Directors to present data-backed actionable insights that would aid in tactical as well as strategic product decision making
- Conduct exploratory & deep dive analysis to identify gaps in product experience and recommend product improvements
- Awareness on Information Security concepts and Best Practices
Must Have:
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- 2 to 4 years of Proven working experience as a Data analyst, Business analyst or Data Engineer
- Strong working knowledge of Excel, SQL, Python is a must
- Must have hands on experience in Tableau, Superset, PowerBI (or similar BI tools)
Good to have:
- Experience setting up Data Pipelines & Automation for BI purposes is highly preferred
- Experience with Athena SQL, Github
- Experience working with Product team
- Experience with Automation using Airflow
- Working knowledge of AWS infra
- Analytics experience in Digital Marketing or Attribution industry
At MoEngage, we are passionate about our team and technology - see below to know more about us and technology.
Tech @MoEngage | Scale @MoEngage | Life @MoEngage
We handle more than 3 billion messages everyday. Rest assured, you will be surrounded by really smart and passionate people as we scale much more to build a world class technology team.
Apply to this job* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena AWS Big Data Data pipelines Economics Engineering ETL Excel GitHub Pipelines Power BI Python Security SQL Superset Tableau
Perks/benefits: Startup environment
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