Companies like Deloitte, Dell, and EA are hiring business intelligence analysts
Business intelligence is an important aspect of digital transformation. Companies look at it as an asset as business intelligence improves customer satisfaction, ROI, manages risks, increases efficiency, and helps in gaining a competitive edge. To make the most of business intelligence, companies are actively hiring BI professionals to carry out various tasks to achieve business goals.
If you are an analyst, here are 10 business intelligence jobs in India to scale up your career.
1. Consultant – Business Intelligence
Seniority level – Associate
The Business Intelligence Services practice at Deloitte consists of highly trained investigators with extensive commercial and public sector experience in conducting in-depth investigations in the context of due diligence, fraud, asset searches, litigation support, and other matters.
- Conduct background investigations.
- Pre-Transaction Due Diligence including background investigations of Executives and their companies.
- Access a broad range of open source information and public records.
- Obtaining objective and detailed information about the third party.
- Asset Searching and Tracing.
- Investigating the backgrounds of opposing parties in order to help focus litigation strategy, etc.
- Either MBA with 1-2 years of work experience in research or BA LLB or equivalent degree
- Exceptional Research, Writing, and Analytic skills.
- Professional demeanor and strong communication skills, both written and oral
- Ability to effectively summarize legal records, media articles, and Internet websites and/or posts.
- Strong grammar skills and command of the English language.
- Proficiency with MS Office (Excel, Word, and PowerPoint) & Internet search strategies.
- Experience with domestic and international public records, databases, and Internet sources. 1+ years of investigative experience with a private investigative firm or equivalent professional services firm
- Fluent in reading, writing, and speaking a foreign language is highly desired (including, but not limited to Spanish, Chinese, or Russian).
- Flexibility regarding potential international travel requirements for client service projects.
2. Senior Business Intelligence Analyst
Seniority level: Mid-senior level
- Identifying the problem, and structuring it to deliver the desired outcomes independently.
- Build, develop and maintain data models, reporting systems, dashboards, and performance metrics.
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication outputs.
- Interpret and report results for various growth aspects to relevant stakeholders.
- Assist the Marketing team in leveraging data for effective decision-making.
- Excellent analytical skills and problem-solving capabilities.
- Advanced Excel/Google Sheets knowledge.
- Knowledge of Programming Languages – R/Python preferred.
- Experience in the e-commerce industry is preferred but not mandatory.
- Individuals with a strong desire and passion for e-commerce.
- A dedicated individual who has the drive to constantly learn and come up with new ideas.
- An individual who has strong problem-solving and team skills.
- An individual who works collaboratively and is comfortable working in a dynamic and fast-paced environment.
- Avid curiosity and passion to take on tough challenges.
- Ability to multitask and work on a diverse range of requirements.
3. Senior Data Analyst – Business Intelligence
Seniority level: Mid-senior level
- Own top-level company metrics that act as a single source of truth for the core performance of the business.
- Collaborate with business teams to understand their requirements and propose holistic solutions.
- Take ownership of the development of such solutions, including planning, execution, communication, and adoption of the tools developed.
- Guide the development of insightful reports and dashboards that allow the organization to transfer to data-driven governance.
- Act as a subject matter expert in all facets of building warehouse models, including architecture, storage, interaction with BI, etc.
- 4-7 years of experience in creating structured Fact-Dimension based Data Warehouses, including building from the ground up.
- Experience working with a variety of data formats (SQL, NoSQL, XML, and JSON) and transforming them into a relational database structure.
- Expertise with OLAP SQL Databases like AWS Redshift and knowledge of optimizations best practices etc. Knowledge of Big Data technologies (Hadoop, Hive, Spark, Impala) is a bonus.
- Ability to optimize ETL processes by using incremental loading to create fact/summary tables.
- Experience with job orchestrators like Airflow, knowledge of best practices.
- Knowledge and experience with creating and maintaining visualizations on BI Tools like. Tableau, PowerBI, etc.
- The development of Python tools to facilitate data analysis, knowledge of R or Java is a bonus.
- Debugging and trouble-shooting expertise.
- Passion for solving challenges demonstrated innovative thinking and problem-solving skills.
- Strong analytical skills; Understanding of Finance, Economics, or Management Control is a big plus.
- Attention to detail with a drive for results.
4. Business Intelligence and Analytics Visualization Analyst
Company: Boston Consulting Group
Seniority level: Associate
As a member of the team, you will interact extensively with a diverse range of stakeholders from across the business, both geographically and functionally. The role sits within the overall Global Financial Planning & Analysis team, coordinating and working with the company's Analysis, Planning, and Reporting teams will play a large part in this role.
The Business Intelligence & Analytics Visualization Analyst will work as an integral part of an agile team. You will be responsible for developing, enhancing, and maintaining a suite of dashboard products that will be leveraged globally by BCG's business leaders and executive teams. Working as part of an agile team, this role will interact with the business to understand use cases, create prototypes, iterate on the design and launch of digital reporting and analytic products.
- 3-5+ years Tableau Development experience required (Tableau certification is preferred as either Qualified Associate or Certified Professional).
- Hands-on experience designing, developing, implementing, and supporting dashboard reporting solutions
- Experience supporting an analytics transformation including profiling legacy reporting and providing next-generation solutions that simplify the end-user experience while providing greater insights.
- Knowledge and understanding of designing and implementing report security solutions both within tableau server and database-level security concepts.
- Experience with data preparation tools including Alteryx and Tableau Prep and basic proficiency in SQL language to access and profile data required.
- Exposure to additional data visualization tools including PowerBI and Looker.
- Basic finance knowledge of financial statements including P&L, Balance Sheet, etc. is preferred.
- Experience working with agile development methodologies and ceremonies.
5. Business Intelligence Analyst
Seniority Level: Associate
- Performs ETL functionality in support of reporting.
- Performs Data Modeling and develops Data Warehousing solutions.
- Performs technical troubleshooting, code debugging, and problem-solving for custom-built data warehousing solutions.
- Assists in implementing effective business analytics practices that drive improved decision-making, efficiency, and performance.
- Communicate with non-technical business users to determine specific business requirements for reports and business intelligence solutions.
- Communicates regularly with technical, applications, and operational staff to ensure database integrity, security, and optimized performance at the application and database level.
- Identifies, communicates, and resolves data quality and data reconciliation issues.
- Participates in and supports all planning and problem resolutions.
- Performs independent audits and reviews and validates databases to ensure data integrity.
- Develops and enforces standards and procedures for the storage and retrieval of institutional data.
- Strong analytical and troubleshooting skills.
- Knowledge of SQL and data warehousing concepts.
- Experience with Oracle SQL and PL/SQL.
- Strong SQL scripting abilities and understanding of complex stored procedures, views, data aggregation/manipulation through table join/queries, database design, normalization, and denormalization techniques.
- Ability to use presentation, word processing, and database or spreadsheet software.
- Demonstrated detailed knowledge of BI areas including ETL design, analytics, and reporting.
- Experience with visualization tools such as Tableau and/or MicroStrategy.
- Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and non-technical audiences.
- Self-motivated; able to work within a project-based environment.
- Ability to work in a team and agile environment.
- A Bachelor's degree in a relevant field.
- 2-3 years in business intelligence and data warehousing environments.
- 2-3 years of experience with ETL processes and tools.
6. Business Intelligence Analyst
Once selected, you will partner with the VEO Operations group to drive highly efficient and effective reporting and dashboarding across VEO. You will have to take the lead accountability for the development and maintenance of the VEO reporting hub, from concept to delivery, and drive operational excellence in reporting and analytics within VEO.
- Develop a good understanding of the VEO business and VEO data model.
- Understand the fundamentals of the data sources:
- What systems does VEO interface with?
- How is the data pulled from these systems?
- How can the pull from each system get automated and (eventually) integrated to form the comprehensive baseline data set?
- Enhance the VEO reporting hub which will be the single point of entry for all reporting and analytics needs for VEO going forward.
- Build VEO reports and dashboards.
- Embrace newer BI technologies such as Power BI to bring a modern look and feel to reporting and dashboards.
- Take complete accountability for the generation and accuracy of the raw meta-data required for the VEO activity tracker data generation. Ensure the transformed data is then represented accurately using the available tools (Power BI, Excel, etc).
- Proactively identify areas of improvement for reporting and analytics within VEO, especially during key business-critical periods such as PIB or year-end summaries.
- Proactively advocate new technologies and processes that are a right fit for the challenges at hand; this includes Power Apps and other BI technologies (Spotfire, Qlik, etc).
- Understand and resolve data quality issues encountered by VEO and provide highly interactive reporting capabilities to profile and resolve these.
- Build Forms to allow end-user request submissions e.g. the NSR template.
- Remain current with technology and ensure the most advanced features are being utilized in the services being built for VEO this includes Power BI, Excel as well as other BI Technologies.
- Bachelors/Masters degree in Business, Science, Finance.
- Highly effective communicator to be able to deliver clear and effective messages orally and in writing to a variety of stakeholders from peers and project teams to senior management.
- Ability to work independently and manage large sets of data and find meaningful inferences, collating and analyzing complex or diverse information skillfully, and conceptualizing solutions and alternatives.
- Deep understanding of database structure, data connection/joins, and keys.
- Flexible thinker
- Self-starter is willing to seek out solutions and ask appropriate questions to further their knowledge.
- Strong team player and contributor to teamwork and team initiatives
- Knowledge of the principles of quality, safety, risk management, and compliance (ICH and GCP).
- Ability to understand and appreciate the value of diverse perspectives and drive innovative solutions to complex problems.
- Business or study operations experience.
- Excellent interpersonal skills, including the ability to establish and maintain good working relationships with peers, colleagues, and management.
- Ability to work across boundaries and drive the integration of new ways of working.
- Good organizational, time planning, and prioritization skills.
- Power BI (Advanced)
- PowerApps and Power Automate
- SQL
- PowerPoint
- Advanced Excel
7. Business Intelligence Senior Analyst
Company: Dell Technologies
As a Senior Business Intelligence Analyst, you will evaluate business data to produce meaningful insights and metrics, identifying trends that improve business performance. You will encourage best practices and knowledge sharing within the organization, and as a trusted advisor to the business, you will also end-users to determine information requirements.
- Deep dive and correlate data, formulate conclusions and provide summary overviews to business leadership.
- Supervise trends and elevate issues accruing due to data variances.
- Interact with customers to set expectations regarding report availability and SLAs.
- Generate reports and recommendations based on analysis and proactively communicate status to the customer.
- Exercise considerable judgment and take initiative in assignments to resolve problems and make recommendations and resolutions.
- Expertise and experience using the following tools & technologies:
- Intermediate knowledge/experience with warehousing/big data environments: Teradata, Hadoop, GreenPlum etc.,
- Intermediate knowledge/experience with relational databases: Microsoft SQL Server (T-SQL, SSIS, SSAS), Oracle, MemSQL etc.,
- Intermediate knowledge/experience with Microsoft products: Excel, PowerPoint, PowerBI.
- Ability to build reports and perform analytics.
- 2 to 5 years of related experience in a professional role.
8. Business Intelligence and Analytics Lead
Seniority level: Mid-senior
- Work and communicate closely with the partnership team in understanding the insight needs of the organization and its clients.
- Work closely with Market Analytics and partnerships by providing understandings, generated through raw level data, of the reason for shifts in viewing for various data queries generated through the BARC membership.
- Driving a culture of advanced analysis of television viewing data to yield deep understandings of trends and patterns in the consumption of video content.
- Oversee and manage the development of insight white papers, presentations, and reports generated through raw level data ensuring that BARC continues to provide value added insight to its stakeholders.
- Support Vigilance in the analysis of suspected households.
- Developing rich and deep understandings of various forms of syndicated and non-syndicated viewership data.
7-10 years of experience in the research and Analytics industry
9. Lead Business Intelligence Analyst
Company: Electronic Arts (EA)
You will lead a small team of analysts and will be the driving force for analytics in Pogo. You will report to the Live Services Lead and will be part of the product team. You are a sharp , curious person who has a passion for diving into data and building models to understand how players are interacting with our games & features. You will produce insights that will help guide design on games, platform and live services to improve acquisition, retention, and monetization for Pogo.
- You will lead and mentor analysts, providing guidance on technical and communication skills for their analyses and projects.
- Establish and grow the skills and practices in your team to create an outstanding analytics function.
- Blend analytical rigor with product knowledge to accomplish deep dives (as needed) and deliver actionable recommendations for product teams.
- Using various analysis techniques, model trends in our data to predict the ways in which new content, features and campaigns will affect the economy, performance, and our player experience.
- Develop analysis frameworks to measure and evaluate the impact of features, systems, and promotions.
- Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and validate your results.
- Develops player clusters based on behavioral patterns, which will be used to customize features and content and improve the player experience.
- Translate problems into structured analyses or data products that directly create actionable insights that maximize value.
- Partner with engineers and feature owners to design and set up robust telemetry for Pogo that enables high-quality analysis and reporting.
- Ensure a high degree of rigor and quality in all projects and ensure that processes are adopted and best practices are shared.
- BA or BS in Economics, Mathematics, Statistics, or related fields.
- 5+ years experience in an analytics role using data to help guide decisions, preferably a consumer products-oriented industry – gaming, social networks or entertainment is preferred.
- 3+ years hands-on experience in data mining, machine learning, or statistical modeling.
- 2+ years of people management experience.
- Experience analyzing very large (web scale), complex, multi-dimensional data sets.
- Experience with visualisation and analytics tools such as Tableau and Google Analytics.
- SQL skills, including experience querying complex data sets on a platform such as Redshift.
- Experience presenting to people at various levels of business and technical expertise, including the ability to simplify difficult technical concepts.
10. Business Intelligence Analyst
Company: Schneider Electric
Seniority level: Associate
- Lead marketing value report production in order to support marketing teams using Business Intelligence tools.
- Lead lifecycle management (PM0, O2, GRT, COS, PIM, ORLM).
- Lead digitalization offers data and contributes to offering master data.
- Deploy and animate tools and platforms to process data and support marketing and strategy teams.
- Manage high quality up-to-date item master data, taking care of all the evolutions of new launches.
- Ensure on time and high-quality data extraction from ERP systems to enable management reporting on commercial performance every month.
- Be the champion of various transformative processes: annual offer optimization (killing part numbers that don't sell), vitality index and others.
- Formulating presentations for status reporting, and sharing recommendations with Senior Management is a key part of the role.
- Engineering, Technology or Business degree with 5+ years of experience in business, marketing or business intelligence.
- Digital acumen – able to understand and integrate a variety of digital tools (databases, excel documents) to produce a synthetic analysis.
- Expert in the usage of Excel, including the ability to use excel functions and macros and proficient in other digital tools. SQL programming ability is a benefit.
- Knowledge of Schneider Electric is a strong benefit.
- Data analytics skills as well as synthetical presentation skills (written and verbal). Ability to present to executives within an external to the company.
- Structured & organized; able to build realistic and actionable plans to improve and deliver on business reporting.
- Team Player – passionate and dynamic leader with the energy and ability to obtain alignment and work effectively across a complex, global matrix organization. Team Builder – able to motivate and gather across key initiatives.
- Accustomed to fast-changing, complex and ambiguous environments.
- Autonomous & takes initiatives.
All the above information has been taken from credible sources. To become a business intelligence analyst for the aforementioned companies, apply for the role on the company's career page.
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