5.0 - 7.0 years

30 - 35 Lacs

Bengaluru

Work from Office

Key Skills: Statistics, SQL, Python, A/B Testing, Hypothesis Testing, Regression, Product Analytics, Data Visualization (UDP, Power BI), Stakeholder Management, Business Metrics, Data Automation, Dashboarding, Data Storytelling, Data Governance. Roles & Responsibilities: Manage large datasets, lead quantitative analyses, and deliver strategic insights. Build and deploy statistical models, including hypothesis testing, A/B testing, product experimentation, and regressions. Optimize e-commerce funnels, retention strategies, and key performance metrics. Define, evaluate, and refine business and product metrics to guide optimization and innovation. Design and deliver executive-level dashboards and reporting solutions using tools like UDP and Power BI. Collaborate with cross-functional teams, managing stakeholder expectations and aligning teams with business goals. Apply advanced analytics techniques and adopt innovative problem-solving approaches in dynamic environments. Drive automation of data pipelines and processes to improve scalability and efficiency. Interpret complex data sets and present findings to both technical and non-technical stakeholders in a clear and actionable manner. Mentor junior analysts, promoting best practices in data analysis and storytelling. Contribute to the development of data governance standards and ensure data quality across projects. Experience Required: 5-7 years of hands-on experience in advanced analytics, statistical modeling, and data-driven decision making. Proven experience in building scalable data workflows and automation solutions. Strong track record of influencing product and business strategy through deep analytical insights. Experience working closely with product, marketing, and engineering teams to define KPIs and measure success. Education: B.E., B.Tech.

Posted 6 days ago

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Data Engineer Soul Ai

1.0 - 4.0 years

1 - 4 Lacs

Hyderabad, Telangana, India

On-site

Design and architect enterprise-scale data platforms, integrating diverse data sources and tools. Develop real-time and batch data pipelines to support analytics and machine learning. Define and enforce data governance strategies to ensure security, integrity, and compliance. Optimize data pipelines for high performance, scalability, and cost efficiency in cloud environments. Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink). Adopt DevOps/DataOps best practices for deployment and monitoring. Required Skills: Strong experience in designing scalable, distributed data systems. Programming skills in Python, Scala, or Java. Expertise in Apache Spark, Hadoop, Flink, Kafka, and cloud platforms (AWS, Azure, GCP). Proficiency in data modeling, governance, and warehousing (Snowflake, Redshift, BigQuery). Familiarity with security/compliance standards such as GDPR and HIPAA. Hands-on experience with CI/CD tools (Terraform, CloudFormation, Airflow, Kubernetes). Experience with data infrastructure optimization using tools like Prometheus and Grafana. Nice to Have: Experience with graph databases, real-time analytics, and IoT solutions. Integration of machine learning pipelines. Contributions to open-source data engineering communities.

Posted 4 weeks ago

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