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Urgent! Analytics Engineer Job Opening In Vadodara – Now Hiring Hexpress Healthcare Softech Private Limited
Job Description Job Description: We are seeking a proactive and skilled Analytics Engineer to join our Data team. Data Modelling & Transformation (ELT): Design, develop, and implement production-ready data models (e.g., dimensional modelling) within the cloud data warehouse. Develop, test, and maintain robust data transformation logic using dbt (data build tool) and SQL to clean, enrich, and standardise raw data. Ensure data definitions, metrics, and business logic are consistent and accurately applied across all data models. Business Dashboards: Design and optimise reporting tables/marts specifically to support core business dashboards in tools like Looker or Power BI. Ensure that the underlying data models are highly performant for BI tool queries (e.g., proper aggregation, indexing, and partitioning to minimise query run time). Develop semantic layer definitions (e.g., LookML in Looker, calculated fields in Power BI) to define and standardise key business metrics for self-service analysis. Business Intelligence: Serve as a key link between business stakeholders and the data platform, translating vague business questions into measurable metrics, clear analytical requirements, and data model designs. Conduct exploratory data analysis on structured data sets to uncover trends, root causes for business performance changes, and new insights that drive strategic decisions. Provide training and support to internal business users (e.g., Marketing, Finance, Product teams) on how to effectively use the standardised BI tools and data models for their own self-service analysis. Data Quality & Governance: Implement automated data quality checks and monitoring within the ELT process to ensure data integrity and reliability. Maintain clear and comprehensive documentation for data models, business logic, and lineage. Collaborate with Data Governance teams to ensure compliance and security standards are met. Pipeline Support: Work closely with Data Engineers to ensure efficient data ingestion and flow into the data warehouse. Requirements: B.E./ B.Tech./ M.E./ M.Tech./ MCA/M.Sc.IT or related field 4–5 years of professional experience in an Analytics Engineering, Data Engineering, or a highly relevant Data Analyst role. Expert-level proficiency in SQL for complex querying, window functions, and performance optimisation. Strong practical experience with a modern Cloud Data Warehouse (e.g., Snowflake, Google BigQuery, AWS Redshift). Demonstrated experience with a data transformation tool, such as dbt (Data Build Tool), is highly preferred. Proficiency in at least one scripting language (Python preferred) for automation and data manipulation. Solid understanding of data modelling techniques Familiarity with version control best practices (e.g., Git). Strong analytical and problem-solving skills Excellent communication and interpersonal skills Nice to Have Skills Experience with workflow orchestration tools (e.g., Airflow). Familiarity with CI/CD principles as applied to data pipelines. Experience with Agile methodologies
This mid-level role is crucial for bridging the gap between raw data and actionable business insights.
You will be responsible for designing, developing, and maintaining scalable and reliable data models that empower our Analysts, Data Scientists, and business stakeholders to make data-driven decisions.
The ideal candidate has a strong background in data warehousing, advanced SQL, and modern data transformation tools.
Key Responsibilities:Requirements
Benefits
Requirements
Data Modelling & Transformation (ELT): Design, develop, and implement production-ready data models (e.g., dimensional modelling) within the cloud data warehouse.
Develop, test, and maintain robust data transformation logic using dbt (data build tool) and SQL to clean, enrich, and standardise raw data.
Ensure data definitions, metrics, and business logic are consistent and accurately applied across all data models.
Business Dashboards: Design and optimise reporting tables/marts specifically to support core business dashboards in tools like Looker or Power BI.
Ensure that the underlying data models are highly performant for BI tool queries (e.g., proper aggregation, indexing, and partitioning to minimise query run time).
Develop semantic layer definitions (e.g., LookML in Looker, calculated fields in Power BI) to define and standardise key business metrics for self-service analysis.
Business Intelligence: Serve as a key link between business stakeholders and the data platform, translating vague business questions into measurable metrics, clear analytical requirements, and data model designs.
Conduct exploratory data analysis on structured data sets to uncover trends, root causes for business performance changes, and new insights that drive strategic decisions.
Provide training and support to internal business users (e.g., Marketing, Finance, Product teams) on how to effectively use the standardised BI tools and data models for their own self-service analysis.
Data Quality & Governance: Implement automated data quality checks and monitoring within the ELT process to ensure data integrity and reliability.
Maintain clear and comprehensive documentation for data models, business logic, and lineage.
Collaborate with Data Governance teams to ensure compliance and security standards are met.
Pipeline Support: Work closely with Data Engineers to ensure efficient data ingestion and flow into the data warehouse.
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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide
Real-time Analytics Engineer Jobs Trends in Vadodara, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Analytics Engineer in Vadodara, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 566738 jobs in India and 3826 jobs in Vadodara. This comprehensive analysis highlights market share and opportunities for professionals in Analytics Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Hexpress Healthcare Softech Private Limited is currently hiring and seeking a Analytics Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hexpress Healthcare Softech Private Limited adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Analytics Engineer Jobs India varies, but the pay scale is rated "Standard" in Vadodara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Analytics Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Analytics Engineer interview at Hexpress Healthcare Softech Private Limited, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hexpress Healthcare Softech Private Limited's products or services and be prepared to discuss how you can contribute to their success.
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