Solutions Developer (Business Intelligence) at Scremer · Remote, Hyderabad, Indore · 3 - 5 years · ₹10L - ₹15L / yr · Bootstrapped · Remote friendly · Posted 7 Jun 2024

Must have
Proven understanding of Data Modelling and Analytics
Advanced knowledge and experience working with relational and NOSQL databases as well as data warehousing.
Experience of working with Microsoft’s BI technology stack SSIS, SSRS, SSAS (tabular model), Power BI, Power Query, Excel.
Experience with Microsoft Azure Analytics tools and technologies such as Azure Synapse Analytics, Azure Data Bricks, HD Insight, Azure Data Factory, Azure Machine learning, Azure Stream Analytics, Azure Data Lake, Azure Analysis Services, Event Hubs, Azure Data Explorer, Azure Data Share, Azure Time Series Insights.
Good interpersonal, verbal, and written communication skills with a proven ability to explain complex technical ideas and problems clearly to non-experts
Good to have
Self-motivated, enthusiastic, and strong problem solving skills
Cultural awareness and experience of delivering solutions internationally working in an agile project delivery environment.
Experience maintaining source control in Git or Azure DevOps
Strong experience with various Software Development Life cycles (SDLC) methodologies: Agile or Standard waterfall initiatives
Proven experience working with various Project Management practices and disciplines
Demonstrated strong interpersonal skills to augment a close working relationship with cross functional teams
A history of designing and implementing reporting solutions that are both functional and engaging
Meticulous attention to detail
Proficiency in DAX, MDX, Python/Scala/Spark SQL
Non-profit sector knowledge/experience
Cosmos DB
Machine Learning
Roles & Responsibilities
Provide the organisation with accurate and timely BI solutions based on requirements gathered through business partnering activities
Maintain and support existing BI solutions
Proactively source new and innovative solutions that provide clear business value and construct ‘proof of concepts’ to demonstrate the new solutions
Proactively identify any technical project risks/issues related to BI
Estimate and deliver BI project tasks to agreed prioritisation and timeframes
Support the IT Service Delivery team with the BI reporting environment
Assist product owners in designing, agreeing, implementing and managing changes to the BI environment
Maintain accurate technical documentation
Communicate data and insights

About Scremer
About
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Position title: Business Intelligence and Data Analyst
Summary -
• Operate and continuously improve the CARS/BI backend within the global Enterprise Data and Business Intelligence platform, ensuring system stability, continuous data loading, and Warehouse the timely delivery of business-critical reports.
• Own the underlying data foundation — SQL pipelines, relational data models, and data warehouse structures — that internal reporting teams and global Data Management initiatives depend on, and act as 1st and 2nd level support for internal customers such as SCM and Sales.
• The role is needed to secure daily BI availability in the Asian time zone, reduce the risk of late or incorrect reporting, and add dedicated database and ETL capacity to the global BI team, including support to the Data Centre team on infrastructure-related issues.
Responsibilities:
• Operate, monitor, and maintain the CARS/BI data integration and data processing workflows, ensuring continuous data loading and stable daily business operations.
• Provide 1st and 2nd level support for CARS/BI, including user support, incident handling, and root-cause analysis of data issues.
• Develop, maintain, and optimise SQL-based data pipelines and transformations within the Enterprise Data Warehouse.
• Design and maintain relational data models and data warehouse structures for CARS BI.
• Integrate data from ERP and other enterprise systems into the BI backend.
• Ensure data consistency, integrity, and performance at the database level, including query tuning and database efficiency improvements.
• Administer the BI technical environment and contribute to its continuous enhancement as part of a global team.
• Support reporting teams by providing structured, reliable datasets and safeguarding the timely delivery of business-critical reports.
• Contribute to global Data Management initiatives, with a focus on Master Data Management and the development of a Common Data Model within the Business Integration Platform.
• Collaborate with the Data Centre team to resolve infrastructure-related issues affecting BI availability.
Education and Experience:
Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology, or a comparable technical field.
Minimum 3 years of relevant professional experience in Business Intelligence, data warehousing, or database development, including hands-on SQL and ETL work in an enterprise environment.
Experience supporting business users in a global or multi-time-zone IT organisation is an advantage.
Competencies:
• Knowledge about either BI platforms (e.g. IBM Cognos BI suite) or ETL tools (e.g. Informatica PowerCenter)
• Database, data modeling and SQL (preferred Oracle PLSQL)
• Good analytical and communication skills
• Teamplayer
• English
• Strong hands-on experience with SQL (advanced level)
• Solid understanding of relational databases and data warehouse concepts
• Experience with ETL tools and database technologies (e.g., Oracle, SQL Server, SAP BW,Informatica or similar)
• Performance tuning and query optimization skills
• Structured, detail-oriented, and quality-focused working style
• Good understanding of enterprise data flows (SAP/CARS is a plus)
Key Interfaces and Stakeholders:
Only internal customers with different topics: e.g. SCM, Sales etc.
Geography to cover and Travel requirements:
Asian Time Zone, Sometimes travel is required
Behavioral Characteristics
Reliability and accountability — the role safeguards daily reporting availability, so dependable ownership of monitoring and issue follow-up is expected. Structured, analytical problem solving with the patience for thorough root-cause analysis. Service orientation and clear communication towards internal customers such as SCM and Sales. Initiative taking and self-reliance, given largely independent work in the Asian time zone. Cooperation and team spirit within a globally distributed BI team across cultures and time zones. Flexibility and resilience under time pressure, including occasional off-hours support during critical data loads. Integrity and discretion when handling confidential business data. Quality focus and attention to detail, with a continuous improvement mindset.
Interview process
2 rounds - Virtual interview and 1 round Face to Face
Any other Criteria
- Notice Period: Below 60 or 90 Days . No Negotiation on Notice Period
- Gender: Female and Male; Female preferred
- Qualification:Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology,
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