Data Translator (Senior Data Analyst)

India

Zensar

Zensar is a global organization which conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for over 200 leading companies. Our solutions leverage industry-leading platforms to...

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Required Skills:

  • Minimum of 10 years of experience in data analysis, business intelligence, of Insurance servicing applications/ systems.
  • Strong understanding of data analysis methodologies, statistical techniques, and data visualization tools (e.g., SQL, Power BI).
  • Excellent problem-solving skills, with the ability to identify root causes, develop creative solutions, and drive implementation.
  • Strong project management skills, with the ability to plan, organize, and manage multiple projects simultaneously.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex information to both technical and non-technical audiences.
  • Ability to work independently, manage time effectively, and prioritize tasks in a fast-paced environment. 
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).

 

ROLE DETAILS 

Role Name

Data Translator

Job Family

Digital, Data and Analytics

Business

OMSA

Key Focus

The incumbent to this role will map, understand and document internal and external data sources which will be made available for consumption by the organisation through close collaboration with the data engineering team who will be adding the data to enterprise the data lake.

The incumbent is individually accountable for achieving results over periods of up to a year.

Level of Work

Service

Role Size

Digital, Data and Analytics.O.OMSA

Employment Equity Category

 

NQF Level

-

Qualification Information

IT/Statistical related degree/diploma or 8 or more years technical or data/business/system analysis related experience.

Market Job Codes

-

CCM Level

Manager of Self

 

LINKED ROLES 

Linked Role

Linked Type

Senior Data Analyst

Lesser Role Size

 

 

KEY RESULT AREAS

Key Result Area

Accountability

Operational Efficiency

Assess internal and external data sources to understand what data is useful to the organisation.

 

Develop an in-depth understanding of the data source and map the data contents to business requirements.

 

Enable the data engineers with business context to build solutions using the identified data.

 

Create metadata maps (Source-to-target maps) that will enable business to understand the contents of the data source.

 

Test the data constructs to ensure that the data pipelines apply business rules and mappings correctly.

 

Provide thought leadership with regards to the possible usage of the data.

 

Translate business needs into functional system requirements and manages the entire system development lifecycle to production.

 

Ensure that metadata is captured in the enterprise data catalogue i.e. Alation.

Team Effectiveness

Individually accountable for managing own time, tasks, and output quality for periods of 6 months to a year

 

Makes increased contributions by broadening individual skills

 

Guides and directs staff to achieve operational excellence standards.

 

Collaborates effectively with others to achieve personal results.

Stakeholder Management

Provides data translation support to Digital, Data and Analytics as well as various other Business Units.

 

Responsible for building strong working relationships with internal and external clients 

 

Communicating and presenting analysis results to key stakeholders across organisational levels

 

Train and upskill stakeholders who want to access data in the data lake

 

ROLE DESCRIPTION

 
  • Assesses options and proposes solutions in cooperation with senior management which could impact the organisation at a tactical level.
  • Focuses on business imperatives of significant operational importance at a specific point in time.
  • Assess internal and external data sources for their usefulness and do detailed mapping of the source (STTM) to business requirements.
  • Train and upskill potential consumers of the data sources.
  • Documents findings in a detailed STTM for data engineers to consume when working on the data source.
  • Ensure that the STTM is loaded in the enterprise data catalogue i.e. Alation and consumers are aware of the availability of the metadata.
  • Provides ongoing support to data engineers from the ingestion of the data to the delivery of the consumable product e.g., Redshift data warehouse.
  • Provides thought leadership and develops knowledge base within field of expertise.
  • Translates business needs into functional system requirements and manages the entire system development lifecycle to production.
  • Individually accountable for managing own time, tasks, and output quality for periods of 6 months to a year
  • Makes increased contributions by broadening individual skills
  • Guides and directs staff to achieve operational excellence standards.
  • Collaborates effectively with others to achieve personal results.
  • Provides data translation support to Digital, Data and Analytics and various other Business Units.
  • Responsible for building strong working relationships with internal and external clients. 
  • Communicating and presenting analysis results to key stakeholders across organisational levels.


 

COMPETENCE REQUIREMENTS

Type

Competence

Level

Description

Core

Strategic

Service

Identifies, understands and acts on broader opportunities in order to drive longer-term value-adding change. Identifies and acts on market and/or competitor trends/opportunities to set, develop and drive out value adding change. Is able to understand, identify and act on broader opportunities in order to drive longer-term, value-adding change. Applies judgement effectively.   Identifies and acts on market and/or competitor trends/opportunities to set, develop and drive out strategic value adding change.

Core

Leading with Influence

Service

Influences and rallies people behind common goals and inspires others to exceed expectations. Actively supports the growth and performance of people around them. Communicates clear strategies and objectives for own function.

Core

Innovation (Perspective)

Service

Demonstrates ability to relate to challenges from a range of diverse but relevant perspectives. Generates creative/out-of-the-box solutions. Challenges the status quo and/or demonstrates ability to relate to challenges from a range of diverse but relevant perspectives. Generates new perspectives that allow a more creative approach to be followed. Willing to take calculated risks when introducing novel ideas.

Core

Execution

Service

Displays consistent energy, drive and perseverance in order to deliver results. Demonstrates a willingness to take calculated risks to achieve stretch performance goals.

Core

Customer First

Service

Puts the customer at the heart of business decisions and drives to improve value for customers. Builds inspiring customer relationships. Being a customer champion and being responsive to customer needs to improve our speed to market.

Core

Personal Mastery (Learning)

Service

Learns and actively works to build self-awareness; develop through experience and feedback from others. Copes effectively with stress and has the resilience to take on stretching and challenging assignments which carry a risk of failure. Adjusts effectively to work within new work structures; processes; requirements, or cultures.

Core

Collaboration (Relating)

Service

Proactively establishes and maintains relationships. Values driven in relating to others. Engenders trust, respect and the building of meaningful relationships across a variety of contexts. Able to handle a wide range of relational challenges including conflict and confrontation to collaborate across boundaries.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: AWS Azure Business Intelligence Data analysis Data pipelines Data visualization Data warehouse Engineering GCP Pipelines Power BI Redshift SQL Statistics

Perks/benefits: Career development Equity / stock options

Region: Asia/Pacific
Country: India

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