
Sr. Data Analyst
at Global internet of things connected solutions provider(H1)
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
- Establish KPIs to measure the effectiveness of business decisions.
- Work with management to prioritize business and information needs.
- Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
- Responsible for developing and executing tools to monitor and report on data quality.
- Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions
- Provide support to Tech teams in managing security mechanisms and data access governance
- Provides technical support and mentoring and training to less senior analysts.
- Derive insights through A/B tests, funnel analysis, and user segmentation
Key Criteria:
- 3+ years in a data analyst position, preferably working as a Data Analyst in a fast-paced and dynamic business setting.
- Strong SQL-based querying languages (MYSQL, PostgreSQL) and Excel skills with the ability to learn other analytic tools.
- Understanding of Scripting experience in (Python, Perl, JavaScript, Shell);
- Skilled in statistical and econometric modeling, performing quantitative analysis, and technological data mining and analysis techniques.
- This role requires a mixture of data schema knowledge and technical writing activities paired with hands-on and collaborative work with Systems Analysts. Technical exposure through requirements, QA, or development software lifecycles are also a plus
- Demonstrated analytical skills. Ability to work with large amounts of data: facts, figures, and number crunching. Ability to see through the data and analyze it to find conclusions.
- Excellent attention to detail. Data needs to be precise. Conclusions drawn from data analysis will drive critical client decisions
Domain knowledge in the Internet of Things is a plus - Managing a junior team of analysts. It is crucial that they have exceptional writing and verbal communication skills to perform their job duties and manage others.
- B.E/ B.Tech./ M. E/ M. Tech from any recognized university in India.
- Minimum 60% in Graduation or Post-Graduation
- SQL knowledge and hands-on experience is a must.
- Great interpersonal and communication skill

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Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
Proficiency in SQL, Python, and Scala for data processing and analytics.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
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Curate and maintain a substantial number of varied playlists based on different Moods, Genres
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Care about attention to detail and organization, have a team spirit, strong work ethic, and a
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