Data Architect
eurofins
Bengaluru, IN
4d ago

Job Description

POSITION TITLE : DATA ANALYST ( Data Architect)

REPORTING TO : Manager

WORKING LOCATION : Bangalore

We are looking for a hands-on, detail oriented and highly motivated data analyst to help create data backed insights. The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions.

Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations.

Required Skills :

  • SQL and NoSQL
  • Datawarehousing
  • Microsoft Excel
  • R or Python
  • Tableau, Power BI, SSRS
  • Data preparation
  • Statistics
  • Machine learning
  • Domain knowledge
  • RESPONSIBILITIES :

  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
  • Work with product and business teams to identify important questions and help them answer these with data
  • Mine and analyze large datasets, draw valid inferences and collaborate with Product team on feature suggestions and development
  • Reviewing and identifying deficiencies in the information available in internal systems following standard procedures
  • Working closely with various stakeholder’s, Partners and member firms to gather the information.
  • Analyzing the information gathered from various sources and ensuring accurate information.
  • Put on your business thinking cap to drive insights and action we can take to improve the business
  • Be connected and influential within the analyst community.
  • Ensure KPIs are published and reviewed on a daily, weekly, monthly basis and perform analysis
  • Collaborate with Machine learning team to complement the Model generation and performance tracking by bringing in insights in the form of statistical analysis
  • Maintain metric reports to show status and impact of changes
  • Perform various quality reviews to ensure data accuracy
  • Contributing process improvement initiatives and procedural documentation
  • Maintain open lines of communication with the team members and Cross-border counterparts
  • Work with team to perform tasks within project scope and established time frame
  • Building reports and dashboards using advanced excel, Power BI and Tableau.
  • Ability to analyze large volume of data and provide time bound insights
  • Identify, analyze and interpret trends or patterns in complex data sets
  • Responsible for accurate updating of SOPs and another process related Documentation
  • Should have good amount of data analysis experience
  • EXPERIENCE REQUIRED :

  • 10+ years of IT experience with 5 years of hands-on experience in Data Analysis
  • Excellent written and verbal communication skills
  • Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
  • Advanced SQL and Excel skills, familiarity with statistics or other analytical techniques
  • Proven ability to solve complex quantitative business challenges; experience in the development of pricing analysis is a plus
  • Excellent written and verbal communication skills.
  • Knowledge of data visualization and exploration tools (Power BI, Tableau, Qlikview etc.)
  • Strong data extraction, analytical and problem solving skills
  • The right candidate thrives in a high energy environment where tactical and strategic activities are expected to be driven in parallel
  • Highly innovative, flexible and self-directed
  • METHODOLOGY WE HAVE IN PLACE AND EXPECT TO BE USED :

  • Scaled Agile, Lean, Kanban, Zero Defect development method
  • Daily Stand-ups with other developers directly involved
  • Scrum of Scrums, Innovation Sprints
  • Continuous integration
  • Automatic Build and Deployments
  • Automated Unit & Functional Testing
  • Follow Development guidelines and coding style
  • Extensive focus on Static Code Analysis
  • Qualifications

  • Bachelor’s or Advanced degree in Math, Bioinformatics, Statistics, Engineering, Computer Science or related discipline.
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