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Senior Data Solutions Analyst Job Opening In Bengaluru – Now Hiring ANSR


Job description

ANSR is hiring for one of its clients.

About Dr. Martens:

Dr. Martens is an iconic British brand founded in 1960 in Northamptonshire.

Produced originally for workers looking for tough, durable boots, the brand was quickly adopted by diverse youth subcultures and associated musical movements.

Dr. Martens has since transcended its working-class roots while still celebrating its proud heritage and, six decades later, “Docs” or “DM’s” are worn by people around the world who use them as a symbol of empowerment and their own individual attitude.

The Company listed on the main market of the London Stock Exchange on 29 January 2021 (DOCS.L) and is a constituent of the FTSE 250 index.


Reports To: Head of Products – Data Platform

Location: India


SO, WHAT'S THE STORY?

DM is Evolving – And So Is Our Data Strategy:

We are transforming how we do business and engage with our customers – and data sits at the heart of this change.

Our strategic shifts demand a new approach to how we collect, analyse, and activate data to power critical business decisions at every level.

This is ambitious.

This is complex.

But most importantly – this is happening.

The question is: Are you ready to help shape what comes next?


We’re looking for a driven techno functional Sr. Business Systems Analysts or Lead Business Systems Analysts who thrive in high-impact, zero-to-one environments.

This individual will serve as a critical bridge between business stakeholders (e.G., product managers, data scientists, business intelligence teams) and technical data engineering/analytics teams.

They will be responsible for understanding complex data-driven business needs, translating them into precise technical specifications for data acquisition, processing, modeling, and consumption, and ensuring the successful delivery and adoption of high-quality data products.


THE GIG:

  • Own complex data requirements and translating them into clear, unambiguous specifications involving data profiling, data lineage, transformation rules, business rules, and consumption patterns.
  • Define data product use cases, user stories, and acceptance criteria with a strong focus on data accuracy, completeness, and usability.
  • Collaborate closely with Product Managers, Data Architects, Data Engineers, Data Scientists, and BI Developers to design scalable, efficient, and robust data products and solutions.
  • Provide functional and technical guidance to Data Engineering and BI teams throughout the data product development lifecycle.
  • Clearly articulate complex data concepts and technical solutions to non-technical stakeholders.


THE STUFF THAT SETS YOU APART

Required Experience and Skills – Our Must Haves:

  • 4-6 years of experience solid experience as a Business Systems Analyst, Sr.Data Analyst or similar profile in Retail domain preferably in fashion & apparel.
  • Hands on experience with data analysis, complex data transformations with strong SQL proficiency for data querying, analysis, and validation preferrable using Snowflake or Databricks.
  • Understanding of ETL/ELT concepts and experience with tools like DBT, Apache Spark, Informatica, Azure Data Factory or custom scripting.
  • Exceptional communication and stakeholder management skills, with the ability to engage and influence diverse audiences.
  • Demonstrated critical thinking, problem solving, planning and organizational skills.
  • Ability to thrive in a complex environment consisting of geographically dispersed and highly matrixed teams


What may give you an edge:

  • Demonstrable usage of AI based solutions like Snowflake Cortex, Databricks Genie, MS Copilot for data analysis, profiling and solutioning
  • Ability to collaborate with Data engineers and deep dive into data pipelines to understand and extract business and technical logics.
  • Basic understanding of scripting languages (e.G., Python) for data manipulation or automation is a plus.

  • Is curious, committed to vision, passionate, fun and pleasant, an achiever and having a sense of urgency.


Core Competencies:

  • Ability to collaborate – we appreciate ones who’s easy to work with.
  • A builder at heart—you love creating from scratch and scaling products that users love.
  • Comfortable with ambiguity and builds one’s own path.


CORE VALUES:

  • BE YOURSELF: Drive innovation through creative problem-solving.
  • ACT COURAGEOUSLY: Build scalable, future-proof data ecosystem.
  • SHOW YOU CARE: Solutions delivering real business impact.


At DM your technical capability will go hand in hand with the below:

  • Great relationship management that delivers results through effective teamwork
  • You will be a proud custodian to our DM’s culture, embodying what we stand for and encouraging others to do the same
  • You will help build a highly engaged team – ensuring a collaborative culture and providing guidance & support to other team members
  • You will take ownership for your own development, proactively seeking out feedback to build self-awareness
  • You will bring the outside-in;
    you’ll share best practice across the team/business and encourage ideas sharing as well as collaborative problem solving
  • You will lead the way and role model on all things DE&I & wellbeing

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Data Solutions Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Solutions Analyst?

Key qualifications for Senior Data Solutions Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Solutions Analyst Job Success

ANSR interview tips for Senior Data Solutions Analyst

Here are some tips to help you prepare for and ace your Senior Data Solutions Analyst job interview:

Before the Interview:

Research: Learn about the ANSR's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Solutions Analyst interview at ANSR, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ANSR's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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