Data Visualization Lead

To be an independent visualization lead who will turn data into information, information into insight and insight into business decisions.

Key Responsibilities:

• Understand and analyze business problems and processes and come up with analysis using Data Visualization platforms like Power BI, Tableau.
• Developing Visual Reports, Dashboards and KPI scorecards using BI Tools.
• Convert data into digestible business intelligence and actionable information.
• Use analytical and statistical rigor to answer business questions and drive business decisions.

Key Expertise:

• 2 – 6 years of strong knowledge and hands-on experience with data visualization tools
• Strong experience with BI tools like Power BI, Tableau is must.
• Perform data manipulation, wrangling, cleansing, and analysis on structured and unstructured data, querying data from Data lake and DB.
• Must be proficient with SQL and Tableau/Power BI, experience writing SQL queries and stored procedures.
• Strong experience in analyzing and reengineering already implemented Dashboards / KPIs
• Applying advanced analytical techniques such as regression modeling, time-series analysis, cluster and factor analysis.
• Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
• Demonstrated capability to provide meaningful and actionable insights based on data analysis
• Experience working directly with business stakeholders to translate business requirements to needs from data and analytics
• Strong experience with SQL.
• Connecting to data sources to import data and transforming for business intelligence.
• Good understanding and working experience with multiple data sources and large data sets.
• Able to integrate BI reports into other applications using embedded analytics, e.g., Power BI Service (SaaS) or by API automation

Qualifications and Skills:

• BA/BS/PG in Business, Engineering, Statistics, Computer Science or Mathematics
• Advanced degrees and certifications preferred.
• Should possess good interpersonal skills and strong communication skills
• Innovative and always looking for continuous improvement
• Strong problem-solving and analytical skills
• Be self-driven and ability to deal with ambiguity in terms of incomplete data.
• Should be a strong team player & able to work on ambiguous environment with minimal guidance