Trianz | Business Intelligence Architect

2 days ago

bangalore, India Trianz Full time

Responsibilities -

  • Analytics Strategy: Set best-practice analytic vision and strategy for the D&AI vertical and horizontal marketplace.
  • BI Analysis: Develop world-class data visualization + storytelling solutions.
  • Stay Client Engagement: Regularly collaborate and partner with clients to understand their challenges and needs and translate requirements into analytic solutions that drive customer value.
  • Service Offering Maturity: Represent and mature analytics capacity for the following D&AI service offerings: Business Analytics & Insight, Analytics Strategy & Advisory, and Adaptive Data Governance.
  • Leadership: As a company-wide analytics and insight SME, you will represent Trianz and industry best practices. Note that this is NOT a management role.
  • Collaboration: Intra and cross-practice collaboration, communication and documentation to ensure Trianz delivers industry best, analytic solutions to our partners and customers. Specific collaboration with our Language Model & Gen AI service offering to mature their analytic capabilities.
  • Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality.
  • Practice Maturity: Lead by example. Support Practice maturity by establishing analytic & insight CoE standards and processes.


Required Skills

  • 12+ years hands-on data analytics experience leveraging analytic, BI, visualization and reporting technologies, delivering insights to customers.
  • Significant experience strategically embedding analytics within business processes and workflows.
  • Any of the following BI certifications (in order of preference) Power BI Data Analyst Associate (PL-300) or Power Platform Solution Architect Expert (PL-600) Tableau Data Analyst
  • Strong data analysis and data profiling experience using advanced SQL.
  • Proficient conceptual, logical and physical data modeling skills.
  • Data management, data warehousing and mart best practice experience.
  • Excellent communication skills with the ability to converse with business users using business terminology.
  • Strong, self-management skills demonstrating ability to multitask and self-manage goals and activities.


Preferred Skills

  • Analytic experience in any of the following verticals and domains: Finance, Insurance, Contact Center, Marketing, Supply Chain.
  • Additional analytic experience with any of the following: AWS QuickSight, Qlik, Google Looker, Salesforce, Domo, OBIEE, Business Objects.
  • Strong DAX and Power Query (including ‘M’) experience.
  • Data governance experience.
  • Python or R experience.

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