SENIOR DATA ENGINEER - SQL

Happiest Minds Technologies; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Happiest Minds Technologies is seeking a Business Data Analyst/Consultant to collaborate with cross-functional teams and drive business outcomes through data-driven insights. The role emphasizes data governance, quality control, and robust reporting.

The ideal candidate will leverage SQL, Excel, and statistical techniques to collect and analyze data, translate findings for stakeholders, and continuously improve analytics processes and frameworks across projects.

Qualifications

• Strong analytical mindset with expertise in data analysis tools and techniques.
• Experience with data management, governance and quality control processes.
• Ability to translate data into actionable business insights for stakeholders.
• Proficiency in reporting, dashboards, and data visualization to inform decisions.

Responsibilities

• Data Consulting: guide data management and analytics for the company and clients.
• Data Collection: gather data from databases, spreadsheets, and systems ensuring accuracy.
• Data Analysis: analyze data to identify trends and insights for decisions.
• Data Interpretation: translate data into actionable recommendations for stakeholders.
• Report Creation: develop reports and dashboards summarizing key insights.
• Data Maintenance: keep databases and data sources accurate and up-to-date.
• Data Quality Control: implement validation, cleaning, and normalization processes.
• Frameworks and Methodologies: create data landscape frameworks and information flows.
• Collaboration: work with marketing, product, and finance for data-driven decisions.
• Industry Knowledge: stay updated on data analytics trends and best practices.

Skills

Data analysis

SQL

Excel

Python

Statistical software

Communication

Cross-functional collaboration

Project management

Data visualization

Data governance

Tools

SQL

Python

Job description

A successful Business Data Analyst/consultant will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams to drive business results. Additionally, a Business Data Consultant/ Analyst should have expertise in data analysis tools and techniques, such as SQL, Excel, and statistical software, and have a deep understanding of data management and quality control processes.

Data Management and Strategies:

• Data Consulting: Provide consultative guidance for data management, governance, reporting/analytics within the company as well as for clients
• Data Collection: Gather data from various sources, including databases, spreadsheets, and other systems, and ensure data accuracy and completeness
• Data Analysis: Conduct data analysis using statistical and data visualization techniques to identify trends, patterns, and insights that can inform business decisions
• Data Interpretation: Translate complex data sets into understandable insights and actionable recommendations for business stakeholders
• Report Creation: Create reports and dashboards that summarize key insights and metrics for stakeholders across the organization
• Data Maintenance: Maintain and update databases and other data sources to ensure accuracy and completeness over time
• Data Quality Control: Ensure data quality by developing and implementing quality control procedures, including data validation, cleaning, and normalization
• Frameworks and Methodologies: Create Data Landscape frameworks, operating models and information process flows
• Collaboration: Work closely with cross-functional teams, including marketing, product, and finance, to provide data-driven insights and support decision-making
• Industry Knowledge: Stay up to date with industry trends and best practices related to data analysis and business intelligence

Technology Acumen :

• Technology Orientation: Exposure: know how to cloud Data tools and technologies and architecture patterns
• Technology Orientation: Exposure to at least one Cloud environment like Azure/AWS/GCP
• Technology Orientation: Exposure at least one of the data management platforms (Data Lakehouse/ Data lake / Data warehousing/Data Fabric)
• Technology Exposure: Hands on exposure to SQL/Python/Scala/python or at least any one of the programming languages
• Program Management: Good expertise/exposure in Data or Enterprise Transformation programs and project management

Soft skills :

• Communication: Communicate findings and insights clearly and effectively to both technical and non-technical stakeholders
• Communication: Excellent presentation and writing skills
• Cross-sell and deliver on data projects for key clients, growing revenue and producing case studies to promote the data science service
• Continuous Improvement: Continuously evaluate and improve data analysis processes and methodologies to optimize insights and outcomes.
• Continuous Improvement: Train and mentor team members in data input, use, meaning, and analysis
• Continuous Improvement: Research and make recommendations for training, equipment, and technology to improve data use