BENGALURU · FULLTIME
Senior Data Analyst
LatentView Analytics
Bengaluru · onsite · Posted 37d ago
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Undisclosed2–5 yrsfulltimeBengaluru
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Section · 01
About this role
Data Analyst
LatentView Analytics
Locations: Chennai Bengaluru Gurugram Bangalore | Experience: 37 Years
About LatentView Analytics
Founded in 2006, LatentView Analytics began with a shared passion for the world of data. Today, over 20 years on, we've grown into a close-knit community of people united by that same drive solving real business challenges with data and AI. We work with industry leaders worldwide, specializing in end-to-end analytics that goes beyond the buzzwords to deliver genuine business impact. Our focus has stayed consistent since day one: helping clients derive meaningful insights and drive growth through a thoughtful, sustainable approach to data analytics and AI.
Role Overview
We are hiring Data Analysts to work across dashboarding BI, data modeling, data quality, and analytics functions supporting our clients. You will work closely with business and technical stakeholders to turn data into insights that drive decisions, and the specific focus of your role will be matched to your experience and skills.
Key Responsibilities
- Design, build, and maintain dashboards, reports, or data models that support business decision-making
- Write and optimize SQL queries against enterprise data platforms
- Translate business requirements into clear, actionable analytical solutions
- Collaborate with cross-functional stakeholders business, engineering, product, risk, or compliance teams as relevant to the project
- Ensure data accuracy, consistency, and adherence to governance standards
- Present insights, dashboards, or recommendations clearly to stakeholders
Skills Experience
- 37 years of relevant experience in Data Analytics, BI
- Advanced SQL Hands-on proficiency in at least one BI/visualization tool Power BI, Tableau, or Qlik
- Strong stakeholder management skills proven ability to work with business teams to shape analytical solutions
- Python or equivalent scripting (R, PySpark) for data manipulation, automation, or analysis
Good to Have(any)
- BI Dashboard Development: DAX, Power Query / Power BI Report Builder, Row-Level Security, dashboard performance optimization, Snowflake or Azure Databricks
- Data Modeling Architecture: Dimensional modeling, data vault methodology, dbt, semantic layer design, data governance and lineage
- Data Quality Test Engineering: ETL/pipeline validation, data reconciliation and profiling, automated testing frameworks, CI/CD practices
- Analytics Data Science: Statistical techniques (regression, segmentation), A/B testing and experimentation, machine learning exposure, product or e-commerce analytics
- Analytics Leadership Consulting: Client stakeholder engagement, team and project management, mentoring
Qualifications
- Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Engineering, or related) or equivalent practical experience
- Strong analytical, problem-solving, and communication skills
LatentView Analytics is an equal opportunity employer and values diversity in the workplace.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Dashboard DevelopmentAutomationautomated testingadvanced sqldata analystBusiness RequirementsDashboardDashboardingAnalyticsData AnalyticsCommunication SkillsArchitectureAzure DatabricksData GovernancecomplianceMicrosoft AzureArtificial Intelligence
Section · Company
About LatentView Analytics
LatentView Analytics
IT Services & Consulting
958
employees
2006
20 years old
Chennai, Tamil Nadu
India
₹11.9L PA avg
Avg at LatentView Analytics
About
LatentView Analytics designs and engineers result-oriented analytics solutions, which enable to make intelligent decisions.
Industries
IT Services & ConsultingConsulting
Employee ratings
10 reviews
3.5/ 5
Culture
3.0
Career growth
2.3
Work-life
3.3
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