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Data Analyst

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Description

Position Description:
Company Profile:
.

Job Title: Data Analyst
Position: Lead Analyst
Experience: 7 - 9 Years
Category: Software Engineer
Shift: General Shift
Work Mode: Hybrid
Primary location: India, Karnataka, Bangalore
CGI Office: TPLS Bangalore
Position ID: J1026-1561
Employment Type: Full Time

The Senior Analytics Engineer will work closely with our key stakeholders in both business and IT to help narrate stories with data and visualize insights in a compelling and insightful way that enables business decision making. As a Senior Analytics engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers. You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them
Your future duties and responsibilities:
Skills and Requirements
. Knowledge of and experience with design & prototyping tools
. Expert knowledge in Data visualization tools (at least one of the following - (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud)
. Expert knowledge of authoring/troubleshooting SQL queries
. Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics into visualization tools
. Knowledge of upcoming trends in tools and technology
. Familiarity with user centered design and testing methodologies and usability and accessibility concerns.
. Communication Skills to engage technical developers, architects and stake holders
. Good project management and organizational skills
. Self motivated, very good in taking initiative. Innovative and able to drive junior team members
. Must have experience in working with AGILE, KANBAN methodologies. Able to run a sprint
Good to have Skills
. Skilled at one of the following secondary visualization tools (at least one of the following - (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud)
. Knowledge of cloud data engineering technologies
#LI-GB9
Skills:
  • Data Analysis
  • Data Visualisation
  • Microsoft PowerBI
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