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4+ Microsoft BI Jobs in India

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Remote only
12 - 15 yrs
₹30L - ₹35L / yr
Data engineering
Business Intelligence (BI)
Microsoft BI
SQL server
Big Data
+42 more

Job Title: Senior Data Engineer

Work Location: Remote / Home Office (US Shift: 6 PM – 3 AM IST)

Employment Type: Full-time, Permanent

Experience Required: 12 - 15 years


About the Role

We are seeking a highly skilled Senior Data Engineer with extensive experience in

designing, building, and optimizing data solutions for the US education industry. The

ideal candidate will have strong expertise in SQL development, data modeling, ETL

processes, and hands-on experience with business intelligence tools such

as Tableau and Power BI.


Key Responsibilities

• Design, develop, and optimize data pipelines, ETL processes, and data

integration workflows across multiple systems.

• Work with stakeholders in the US education domain to understand data

requirements and deliver scalable solutions.

• Develop and maintain complex SQL queries, stored procedures, and

performance-optimized data models.

• Collaborate with data analysts and business teams to build dashboards,

reports, and visualizations in Tableau and Power BI.

• Ensure data quality, governance, and compliance with industry regulations

and institutional reporting requirements.

• Partner with cross-functional teams (Product, Analytics, IT) to support data

driven decision-making.

• Monitor, troubleshoot, and improve data infrastructure and workflows for high

availability and performance.


Required Qualifications

12–15 years of professional experience in data engineering, ETL, and database

development.

• Strong expertise in SQL (complex queries, optimization, indexing, stored

procedures).

• Proven experience working with data in the US education industry (student

information systems, enrollment data, compliance reporting, accreditation,

etc.).

• Hands-on expertise with Tableau and Power BI for data visualization and

reporting.

• Solid understanding of data modelling, data warehousing concepts, and BI

best practices.• Experience with cloud data platforms (AWS Redshift, Snowflake, Azure

Synapse, or GCP BigQuery).

• Knowledge of Python, Spark, or other data processing frameworks is a plus.

• Strong problem-solving skills with the ability to translate business requirements

into technical solutions.


Preferred Skills

• Familiarity with IPEDS, state/federal reporting standards, or other US

education regulatory frameworks.

• Exposure to data governance frameworks and master data management.

• Experience in API integrations and handling large-scale structured/unstructured

data.

• Excellent communication skills to work with both technical and non-technical

stakeholders.

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Vadodara, Baroda
3 - 10 yrs
₹6L - ₹8L / yr
skill iconData Analytics
data analyst
data operations
skill iconData Science
MS-Excel
+5 more

Job Overview


As a Profile Data Setup Analyst, you will play a key role in configuring, analysing, and managing product

data for our customers. You will work closely with internal teams and clients to ensure accurate,

optimized, and timely data setup in Windowmaker software. This role is perfect for someone who

enjoys problem-solving, working with data, and continuously learning.


Key Responsibilities

• Understand customer product configurations and translate them into structured data using

Windowmaker Software.

• Set up and modify profile data including reinforcements, glazing, and accessories, aligned with customer-specific rules and industry practices.

• Analyse data, identify inconsistencies, and ensure high-quality output that supports accurate quoting and manufacturing.

• Collaborate with cross-functional teams (Sales, Software Development, Support) to deliver complete and tested data setups on time.

• Provide training, guidance, and documentation to internal teams and customers as needed.

• Continuously look for process improvements and contribute to knowledge-sharing across the team.

• Support escalated customer cases related to data accuracy or configuration issues.

• Ensure timely delivery of all assigned tasks while maintaining high standards of quality and attention to detail.


Required Qualifications

• 3–5 years of experience in a data-centric role.

• Bachelor’s degree in engineering e.g Computer Science, or a related technical field.

• Experience with product data structures and product lifecycle.

• Strong analytical skills with a keen eye for data accuracy and patterns.

• Ability to break down complex product information into structured data elements.

• Eagerness to learn industry domain knowledge and software capabilities.

• Hands-on experience with Excel, SQL, or other data tools.

• Ability to manage priorities and meet deadlines in a fast-paced environment.

• Excellent written and verbal communication skills.

• A collaborative, growth-oriented mindset.


Nice to Have


• Prior exposure to ERP/CPQ/Manufacturing systems is a plus.

• Knowledge of the window and door (fenestration) industry is an added advantage.


Why Join Us

• Be part of a global product company with a solid industry reputation.

• Work on impactful projects that directly influence customer success.

• Collaborate with a talented, friendly, and supportive team.

• Learn, grow, and make a difference in the digital transformation of the fenestration industry.

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Springer Capital
Andrew Rose
Posted by Andrew Rose
Remote only
0 - 0 yrs
₹5000 - ₹7000 / mo
Data Visualization
skill iconData Analytics
Microsoft BI
SQL
Microsoft Excel
+5 more

The Power BI Intern will assist the analytics team in using Microsoft Power BI to create interactive dashboards and reports. Working with actual datasets to assist well-informed business decision-making, this position provides practical exposure to data analysis, visualization, and business intelligence techniques.

Read more
MedCords

at MedCords

6 recruiters
Monika Goel
Posted by Monika Goel
Kota
3 - 8 yrs
₹12L - ₹122L / yr
Intelligence
Business Intelligence (BI)
Microsoft BI
BI Analytics

BI Head

Exp – Minimum 5+ years

Location Kota

 

 

The prospective candidate will be a key pillar standing between business and customers, translating data findings, challenges and processes into data driven product features. S/He will work on a daily basis in a skilled and awesome cross-functional team that will be developing and maintaining the product. S/He will assist the Product Owners and Mobile app business by interpreting internal and external data, providing insights and analytical support to drive customer acquisition, retention, business process, product marketing, on-going and new initiative decisions. S/He is expected to have a holistic analytics overview of the product and all the connected databases.

 

 

-   Own the overall design and support of the BI technology environment, including information acquisition, management, warehousing and delivery solutions.

-    Promote and facilitate the development of self-service capabilities for the business in the access and reporting of business information.

-    Setting up & monitoring the Mobile app KPIs to increase the usage and customer engagement

-    Configuring analytical solutions (e.g. Google Analytics) & analyzing insights to support the mobile app product and business strategy

-    Working with management to prioritize business and information needs.

 

Desired Skills :

 

- Team handling experience is must

- Candidate should be able to understand the requirement and works accordingly

- Graduate/PostGraduate in Engineering, BS in Mathematics, Economics, Computer Science, Information Management or Statistics

 

- Must have at least 4+ years of total work experience, + 3 years in data analytics in any e-commerce/marketing organization.

 

- Prior experience in data analytics in Fintech-Lending/ B2C /Mobile commerce /e-commerce company

 

- Strong knowledge and experience of reporting packages like Business Objects, databases like SQL.

 

- Experienced in analyzing customer behavior and large datasets generated by mobile app events

 

- Should have strong agility, proactive, drive forward and can-do attitude

 

- Must have strong communication, interpersonal and analytical skill

 

 

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