Happiest Minds - Business Data Consultant - Data Analytics

SALARY : 10LPA - 40LPA

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.

(ref:hirist.tech),