Business Intelligence Analyst (Power BI, Power Apps & Power Automate)

Gurgaon - Cyber Park

Gartner

Gartner provides actionable insights, guidance, and tools that enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities.

View all jobs at Gartner

Apply now Apply later

What makes Gartner a GREAT fit for you?

When you join Gartner, you’ll be part of a fast-growing team that helps the world become smarter and more connected. We’re the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training, and career development — as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be.


About this role: 
The Enterprise Analytics Self Service Center of Excellence is responsible for guiding our business users globally for corporate-wide analytics initiatives. The Business Analyst will be part of this team and will serve as a local and global resource to help drive and improve self-service analytics across the enterprise.


What you’ll do:
● Utilize an advanced understanding of multiple data structures, sources, and tools to guide business partners in the development of self-service analytics, which may include data visualization, business intelligence, or data collection
● Present best practices and/or tool updates at live cross-enterprise community calls
● Engage in cross-team collaboration and address ad hoc requests from multiple business units, and with individuals with varying levels of analytical experience within those business units
● Collaborate with stakeholders to gather requirements, define project scope, and help develop reports, while mentoring to drive self-service moving forward
● Help our business users learn to self-serve for their analytics and reporting needs, primarily leveraging Power Platform
● Design, develop, document and maintain PowerApps solutions 
● Automate business processes using Power Automate and provide documentation
● Stay up-to-date with the latest Power Platform features and best practices as well as best practices to share with our community
● Create and maintain usage reports and monitor usage for self-service analytics platforms and resources
● Research and validate data models leveraged by self-service users
● Collaborate on special projects on an as needed basis
● Collaborate with team to update existing training content and/or create new training content
● Deliver all assigned work within quality standards and on time, often within tight deadlines


What you’ll need:
● Bachelor’s degree is required. Masters or advanced degree a plus
● Industry knowledge of BI landscape and latest emerging tools supporting descriptive to perspective analytics
● Strong analytics skills
● Experience in Power Platform, including Power BI, Power Apps and Power 
Automate
● Proficiency with DAX, Power Query(M) and SQL
● Proven ability to transfer knowledge, such as mentoring or training
● Ability to work in global, cross functional virtual teams
● Effective communication skills 
● Ability to work effectively on multiple projects at the same time
● Knowledge of Python/R is a plus
● Knowledge of Data Bricks is a plus 


Who you are:
● A professional with at least 2 years of work experience leveraging Power BI
● Comfortable speaking in front of groups and mentoring others
● Enthusiastic about learning and sharing new techniques
● Self-motivated and able to independently complete assignments with little to no oversight, as well as leverage resources when applicable
● Teachable and able to embrace best practices and feedback as a means of 
continuous improvement
● Consistently high achiever marked by perseverance, humility, and a positive outlook in the face of challenge


What we offer:
● In addition to an outstanding work environment with rapid advancement potential, you will be part of a team that is extremely collaborative and creative. Gartner associates enjoy exceptional compensation and benefits, including:
● Competitive base salary
● Flexible work environment
● Great work culture


#LI-SS10

Who are we? 

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work? 

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer? 

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. 

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.

Job Requisition ID:88402

By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy


For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Apply now Apply later
  • Share this job via
  • or

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

Job stats:  3  0  0

Tags: Arrow Business Intelligence Databricks Data visualization Power BI Privacy Python R Research SQL

Perks/benefits: Career development Competitive pay Flex hours Startup environment

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.