Data Analyst

In addition, th e data analyst will work both independently and with business stakeholders to analyze our data and turn it into useful information. This information will be leveraged to make recommendations for initiatives set to improve business operations and help achieve strategic business objectives. This requires proficiency in business intelligence tools, very strong database skills (SQL), technical understanding of data architecture, data modeling, data mapping, integrations and a strong business sense. You will work with other analytics team members, business stakeholders, and data engineers to understand what our data means, where it is lacking, and how it can be modeled to make it available for analysis and visualization. These analyses will provide the foundation for future business initiatives. The data that you model and analyze will be used across the company to monitor the health of the business and identify areas for improvement.

Responsibilities

• Create dashboards using Power BI and other similar tools with data from various sources like Oracle, SQL and MongoDB
  
• Able to integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation.
  
• Develop visual reports, dashboards and KPI scoreboards using Power BI
  
• Connecting to data sources, importing data and transforming data for Business intelligence.
  
• Excellent in analytical thinking for translating data into informative visuals and reports.
  
• Adept in developing, publishing and scheduling power BI reports as per the business standards.
  
• Extract unstructured data from a variety of sources, manipulate data into a form suitable for analysis and then mapping data to more structured explore data using relation database
  
• Proactively bring new business opportunities unearthed through data mining to the attention of business stakeholders
  
• Partner with business stakeholders in framing and prioritizing business questions considering both short and long potential impact, interpret findings, quantify opportunities, and propose actions with a data-centric point of view
  
• Shape, explore, and publish data for business analysis or stakeholder initiatives using core BI tools (e.g., Excel, Tableau, other latest tools)
  
• Ensure optimization initiatives are implemented, tracked and reviewed post production.
  
• Create and maintain documentation relating to existing processes and suggestion / presentations for improving those processes relating to implementation
  
• Perform reverse engineering of physical data models from difference data sources such as CRM, Share point with SQL scripts
  
• Evaluate data models and physical databases for variances and discrepancies
  
• Validate business data objects for accuracy and completeness
  
• Analyze data-related system integration challenges and propose appropriate solutions
  
• Determine root cause of issues and apply your learnings to quickly resolve the issue and underlying cause
  
• Ability to Identify and solve for underlying operational challenges and opportunities rather than simply executing prescribed processes