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Pricing Data Analyst

ABB

Pricing Data Analyst

ABB

Bangalore, Karnataka, India

·

On-site

·

Full-time

·

1w ago

Required Skills

Pricing analytics

SQL

Python

Power BI

Excel

Statistical modeling

Elasticity modeling

Data modeling

DAX

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for Soft Bank Group to acquire ABB Robotics. Soft Bank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.

This Position reports to:

Pricing And Data Analytics Lead:

Your role and responsibilities

As ABB Robotics transition from ABB into Softbank Group, we are seeking a motivated Pricing Data Analyst to join our analytics team within the Robotics Division. The ideal candidate will have hands-on experience with pricing analytics, SQL/ Python, Power BI, along with exposure to statistical modelling and elasticity modelling. This role is perfect for someone eager to grow in the BI domain while contributing to digital transformation and data-driven decision-making.

The work model for the role is: #Li_hybrid

In this role you will be contributing for Robot & Discrete Automation in Bangalore, India.

You will be mainly accountable for:

  • Apply advanced analytical skills to interpret large datasets, identify trends, and trans-late insights into actionable pricing recommendations.

  • Partner with global pricing and sales managers, as well as wider cross‑functional stakeholders, to translate commercial and operational requirements into scalable, high‑impact BI solutions.

  • Conduct detailed pricing analysis to uncover performance drivers, identify optimisation opportunities, and support strategic pricing decisions.

  • Execute, and analyse pricing experiments (e.g., A/B tests) to evaluate the impact of price changes and commercial strategies.

  • Demonstrate strong commercial acumen, including understanding of revenue models, margin structures, price elasticity, and competitive positioning.

  • Design, develop, and maintain efficient, scalable Snowflake data models aligned with business needs and best‑practice data architecture.

  • Integrate Snowflake with Power BI following best practices for connectivity, authentication, modelling, and automated data refresh.

  • Produce clear, compelling dashboards, reports, and visualizations that support da-ta‑driven decision‑making across the division.

  • Present insights, recommendations, and model outputs to business leaders and cross‑functional teams in a clear, concise, and commercially relevant manner.

  • Ensure data accuracy and governance.

  • Contribute to continuous improvement of pricing processes, tools, and analytical capabilities across the organization.

  • Qualifications for the role - 4+ years’ experience in pricing or commercial analytics within a data‑driven environment.

  • Any degree should be ok but more preferrable with mathematics, economics finance/business background.

  • Strong pricing analysis capability, with the ability to identify trends, performance drivers, and optimization opportunities.

  • Advanced Excel proficiency, including complex formulae, pivot tables, Power Query, data modelling, automation, and scenario analysis.

  • Advanced Power BI skills, covering data modelling, DAX, performance tuning, govern-ance, and best‑practice dashboard design.

  • Understanding in building and maintaining pricing models that forecast revenue, margin impact, and demand scenarios.

  • Solid statistical knowledge, including regression, forecasting, and elasticity model-ling.

  • Proficiency in Python or SQL with the ability to build analytical scripts and automate workflows.

  • Proven stakeholder engagement, with the ability to capture requirements and deliver impactful, commercially relevant analytical solutions.

  • Understanding of customer segmentation and behavioural pricing principles.

  • Strong storytelling that turns complex analysis into clear insights.

  • Practical problem‑solving with a knack for putting the jigsaw together.

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process.
We never ask for money from job applicants.

For current open positions you can visit our career website https://global.abb/group/en/careers and apply.

Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving