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Latest Job Openings For Analytics Professionals At Top IT Firms

Below is a list of the 20 latest analytics hiring announcements made recently by top IT firms in India.

1| Senior Associate – Consulting Delivery

Location: Bangalore

Responsibilities:

  • Work on developing solutions to maximise the usage of analytics and decision sciences in any context (Lifetime value, Repeat, Retention, Cross-Sell, Mix Modelling, Demand Forecasting etc).
  • Understand client briefs across different industries (Retail, Telecom, Finance, Travel etc).
  • Exploratory analysis, data mining, report generation, etc.

Apply here.

2| Ads Security Data Analyst, Trust and Safety at Google

Location: Hyderabad

Responsibilities:

  • Collaborate with cross-functional groups such as Product Management, Engineering, Sales and Legal to protect users from Malvertising.
  • Assess and optimise the advertiser onboarding and appeals framework to sustain the high barrier to entry for malicious actors.
  • Identify opportunities/sources for new signals, automation, and workflow improvements.

Apply here.

3| Data Analytics Associate at JPMorgan Chase & Co. 

Location: Bangalore

Responsibilities:

  • Collaborate with key stakeholders, business partners, and research teams to understand the business problem.
  • Help the LOB stakeholders innovate through data-driven decisions by querying data and merging information from diverse data sources to create a rich set of data that enable better decision-making.

Apply here.

4| Data Scientist (Payments) at AirBnB

Location: Bangalore

Responsibilities:

  • Anticipate and detect new fraud trends and regulatory requirements.
  • Design experiments to measure the impact of new payments features.

Apply here.

5| Associate Data Scientist- Analytics at AB InBev

Location: Bangalore

Responsibilities:

  • Develop advanced machine learning and time-series models.
  • Procure data from multiple data sources and perform data munging to convert it into the analytical dataset to perform time-series analysis, etc.

Apply here.

6| Data Analyst at Cisco

Location: Bangalore

Responsibilities:

  • Understand the fundamentals of data preparation/data modelling vital for the visualisation purpose.
  • Responsible for SAP HANA modelling using various Calculation Views/dimensions and SQL Scripting, utilising the advanced features of HANA Studio.
  • Responsible for HANA Modeling and enterprise SAP HANA projects.

Apply here.

7| Data Scientist 1 at PayPal

Location: Bangalore

Responsibilities:

  • Set up measurement frameworks like Pre-Post, A/B tests to assess project impact.
  • Integrate data and product knowledge to build stories, convey actionable insights, etc.

Apply here.

8| Data Analyst – Consulting Services – Remote at Red Hat

Location: Bangalore

Responsibilities:

  • Design scalable analytics-based reports and solutions for evolving consulting business challenges.
  • Manage end-to-end development, including requirements gathering, data collection, feature engineering, testing and validation, and implementation and delivery.
  • Coordinate multiple initiatives simultaneously, leading individual projects and collaborating on cross-functional team projects, etc.

Apply here.

9| Fraud Analytics at Accenture

Location: Bangalore

Responsibilities:

  • Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs to achieve a variety of business and operational outcomes.
  • Develop and frame Proof of Concept for key clients where applicable.

Apply here.

10| Specialised Analytics Analyst 2 at Citi

Location: Bangalore

Responsibilities:

  • Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies.
  • Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, which may include utilising statistical models/algorithms and data visualisation techniques, etc.

Apply here.

11| Data Science Engineer at Adobe

Location: Noida

Responsibilities:

  • Build and maintain scalable automated data pipelines, software programs, algorithms to cleanse, stitch and calibrate large datasets from multiple disparate sources to tackle real-world business challenges.
  • Design and architect an efficient analytics layer, to process large datasets to make them easily available to analytics teams.

Apply here.

12| Data Engineer I at Honeywell

Location: Gurugram

Responsibilities:

  • Use large data sets from Data Lake/EDW environments to address business issues.
  • Work concurrently on several projects with specific deliverables that differ from project to project.
  • Build ad-hoc data models to find hidden patterns and trends, etc.

Apply here.

13| Data Analyst at American Express Global Business Travel

Location: Gurgaon

Responsibilities:

  • Interact with database developers and users across the organisation to ensure the timely delivery of relevant and user-friendly reporting.
  • Demonstrate strong commercial sense in framing business problems and generating relevant reporting.
  • Articulate and influence on requirements for future database and predictive analytics development.

Apply here.

14| Senior Data Scientist, Customer Analytics at Atlassian 

Location: Bangalore

Responsibilities:

  • Strong sense of accountability, self-drive, and the ability to function independently.
  • Crafting raw data and analysis into well-written and persuasive content.

Apply here.

15| Assistant Manager II – Data Analyst at Flipkart

Location: Bangalore

Responsibilities:

  • Identify, design, and develop data analytics extract routines to support audit activities performed by the Internal Audit team from scoping to testing. 
  • Demonstrate proficiency and practical understanding of data analysis concepts and basic programming techniques. 
  • Provide technical expertise on data extraction, data cleansing, data mining & analysis and generate output for visualisation/analysis, etc.

Apply here.

16| Data Scientist at Philips

Location: Chennai/Bangalore 

Responsibilities:

  • Apply advanced analytic techniques such as optimisation, simulation, data mining and statistics to design, implement, validate, and refine mathematical models and algorithms to understand, evaluate and optimise supply chain.
  • Develops insightful data-driven recommendations and actions.

Apply here.

17| Analytics & AI Product Management – AI/ML Specialist at GSK

Location: Bangalore

Responsibilities:

  • Influence machine learning strategy for a program/project; explore design options to assess efficiency and impact, develop approaches to improve robustness and rigour.
  • Effectively explain technical concepts at all levels in the organisation.

Apply here.

18| Associate Data Scientist – Space Planner at Shell

Location: Bangalore

Responsibilities:

  • Creating macro space layouts for new shops and analysing existing performance to ensure each shop has the optimal category space to maximise the shop profitability.
  • Work closely with Category Management to deliver visually appealing versioned planograms based on store clustering, space definitions and defined flow in accordance with agreed service level agreements (SLA).

Apply here.

19| Data Scientist – Analytics at Welspun

Location: Mumbai

Responsibilities:

  • Analyse large amounts of information to discover trends and patterns and convert the business problem into a machine learning use case.
  • Build predictive models and machine-learning algorithms, etc.

Apply here.

20| Data & Analytics Manager at NatWest Group 

Location: Delhi

Responsibilities:

  • Building stakeholder relationships from across multiple franchises and functions, as well as with peers from across the data and analytics community.
  • Setting and embedding the strategic vision for the adoption of new and emerging data solutions across the team, etc.

Apply here.

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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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