Senior Data and Business Intelligence

Primary Skills (must have) :

Strong hands on experience Data Warehouse

Strong hands on experience building Data Lakes

Semantic Model Development (Dimensional, Tabulal), SSAS, AAS, LookML

Strong dashboarding skills - PowerBI (preferred) / Tableau

Hands on experience in SQL, DAX, Python, R

Google Cloud Platform DevOps(CI / CD)

Strong analytical skills and attention to detail

Proven ability to quickly learn new applications, processes, and procedures.

Able and willing to collaborate in a team environment and exercise independent judgement.

Excellent verbal and written communication skills.

Ability to form good partner relationships across functions.

Secondary skills :

Databricks, Azure Data Factory

Agile experience (SAFe / Scrum / Kanban / Lean Agile environment)

Responsibilities

Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement.

Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions.

Translates data results into written reports, tables, graphs, and charts to convey information to management and clients.

Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues.

Uses data mining to extract information from data sets and identify correlations and patterns.

Organizes and transforms information into comprehensible structures.

Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data.

Identifies and recommends new ways to support budgets by streamlining business processes.

Skills Required

Business Intelligence, Analytical, Mis, Agile, Data Quality, Data Mining, Sql, Technical Support, Analytics