188 Analytics Manager jobs in Hyderabad

Hello Folks,

Novartis India

About the Company

We believe in the power of partnership and teamwork to tackle the most challenging healthcare issues. At Novartis India, we celebrate diversity, embrace varied perspectives, and nurture a safe, inclusive, and rewarding environment for all. Join our exceptional team and be a part of something extraordinary.

Location: Hyderabad

Work Mode: Hybrid

Exp: 7 to 12 Yrs

About the Role

We are hiring for Tagging Manager - Google Analytics, Google Tag Manager, Digital analytics, Tag implementation, JavaScript, CSS, DOM

Required Skills

• Google Analytics
• Google Tag Manager
• Digital analytics
• Tag implementation
• JavaScript
• CSS

Pay range and compensation package

Competitive pay and benefits

Equal Opportunity Statement

We celebrate diversity, embrace varied perspectives, and nurture a safe, inclusive, and rewarding environment for all.

What you’ll get:

• A diverse and inclusive work culture
• Generous paid parental leave
• Wellbeing and flexibility at work

Apply here

About MarketStar:

MarketStar is a global sales and marketing outsourcing company that helps businesses drive growth through innovative sales solutions and customer engagement strategies. With over 30 years of experience, we partner with leading brands to accelerate sales performance and deliver exceptional customer experiences.

Role Overview:

In everything we do, we believe in creating growth, for our clients, employees, and community. For the past 35+ years, we have been generating revenue for the most innovative tech companies globally through our outsourced B2B demand, sales, customer success, and revenue operations solutions. We are passionate about cultivating career advancements for our people and supporting them through mentorship, leadership, and career development programs. We provide service and support to our communities through the MarketStar Foundation.

Our exceptional team is the cornerstone of MarketStar's accomplishments. We are proud of our award-winning workplace culture and for being named a top employer. These achievements are a testament to our six core values, embraced by our 3,000+ employees worldwide. From our headquarters in Utah, USA, to our global offices in India, Ireland, Bulgaria, Mexico, the Philippines, and Australia, we all work together to drive innovation and success.

Key Responsibilities & What will you need to succeed in this role:

- Hands on experience in managing BI/BA/Data teams and working closely with all stakeholders

including Sr management.

- End to End knowledge of Operations management and Business analysis. Collaborate with cross

functional teams to understand business needs, define data requirements, and ensure data accuracy and integrity.

- Collect, analyze, and interpret complex data from multiple sources to identify trends, patterns, and opportunities for business improvement.

- Conduct ad-hoc analysis to support business initiatives, such as market research, competitive analysis, and customer segmentation.

- Develop and maintain interactive dashboards, reports, and visualizations using BI tools such as

Tableau, Power BI, or similar, to provide actionable insights to stakeholders.

- Support business leaders in making data-driven decisions by presenting insights and

recommendations in a clear and concise manner.

- Conduct ad-hoc data analysis and research to address specific business questions and challenges.

- Monitor key performance indicators (KPIs) and create alerts to proactively identify anomalies or

potential issues.

- Drive continuous improvement of BI processes, tools, and methodologies to enhance the overall

effectiveness of the BI function.

- Provide training and support to team members and end-users on BI tools and data analysis

techniques.

- Stay informed about industry trends, best practices, and emerging technologies in business

intelligence and data analytics.

- Partner with sales leaders and account managers to understand business needs and develop

actionable insights and recommendations.

- Creating business review decks and presenting to the leadership team.

Qualifications:

- Minimum 10 -12 years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 5 years of experience leading a team.

- Degree in Business Analytics/ Business Administration /Business Communication / Marketing.

- Proven work experience in business intelligence, data analysis, or related roles.

- Experience with data visualization tools such as Tableau, Power BI, or similar.

- Solid understanding of data concepts, data modeling, and database design principles.

- Excellent analytical and problem-solving skills, with the ability to think critically and draw insights from data.

- Strong business acumen and the ability to understand and interpret business requirements.

- Exceptional communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

- Experience in project management and the ability to prioritize and manage multiple tasks effectively.

- Familiarity with ETL (Extract, Transform, Load) processes and data integration techniques.

- Experience with data visualization tools: Tableau and others.

Must have Skills:

- End to End knowledge of Operations management and Business analysis.

- Knowledge of operational analytics and modeling techniques.

- Experience with BI platforms (Power BI, SQL and Looker studio).

- Understanding of data governance and data quality principles.

- Understanding of Business concepts and business financials.

- Creating business review decks and presenting to the stakeholders.

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has opportunities in Hyderabad. Our global offices serve as a dynamic innovation and operations hub, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Functional EDAA Consulting Support: (Manager, Data Analytics)

The Enterprise Data, Analytics, and AI Manager (EDAA) supports data-driven decision-making by analyzing trends in key performance metrics, identifying how the data can guide decisions, and delivering actionable insights. It is an exciting role for McDonalds as the role is a strategic partner to Chief People Officers in International Markets. It will help identify and address the challenges the company faces and will consult to the Global People Leadership Team. The role will execute on People Analytics strategy including the successful delivery of Data Products and Services in markets around the world. This role will leverage advanced People analytics to consult and influence complex and impactful business decisions. Besides technical and consultative work, this role will require a high degree of accountability in terms of managing data and finding ways to improve McDonald’s data management processes. Additionally, the role requires excellent presentation and communication skills to inform and influence Senior Director, Vice President, and higher level leaders as a strategic partner.

Who we are looking for:

Primary Responsibilities:

• Lead deployment of new People Analytics Operating model with a focus on Data Product (Tableau, Power BI) and Data Service delivery
• Coach, train, and consult with stakeholders across the globe in leveraging People Insights to improve and streamline decision making
• Data Storytelling using advanced analysis (Regression, Random Forest, Natural Language Processing, Factor Analysis) to articulate complex insights to technical and non-technical audiences
• Conduct in-depth analysis using descriptive and perspective techniques (Python, R). Partner across the team to develop analytical models that can be repeated overtime.
• Prepare reports and dashboards (Tableau, Power BI, Alteryx) for stakeholders that summarize key trends.
• Learn and apply new data analysis techniques.
• Support ad-hoc data requests from various departments.
• Consult to International Market Chief People Officers and executive leadership teams on people insights.

Skill:

• Strong analytical and problem-solving skills with proficiency in data analysis tools and software (SQL, Python, R, Tableau, Power BI). Experience with advanced data modelling (regression, machine learning frameworks, Databricks) is a requirement.
• Experience in data visualization and storytelling to communicate insights effectively (Tableau, Power BI).
• Educational background in Data Science, Statistics, or Computer Science. Candidates with advanced analytics certifications preferred
• 3+ years of Professional experience in data analytics (Operations, Finance, or People preferred), business intelligence, or a similar role
• Experience working in an international and cross-functional team while managing multiple projects and workstreams. Experience leveraging tools such as Jira and Confluence or Agile methodology is preferred

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

• Develop and implement sophisticated analytical models to evaluate player performance, identify talent, and optimize team strategy.
• Oversee the collection, cleaning, and integration of diverse data sources (e.g., player tracking data, video analysis, biometric data, game statistics).
• Translate complex analytical findings into actionable insights and recommendations for coaches, scouts, and management.
• Lead and mentor a team of sports analysts, providing technical guidance and fostering professional development.
• Design and conduct statistical analyses to support player scouting, recruitment, and roster management decisions.
• Analyze game performance data to identify trends, strengths, and weaknesses in team and individual player execution.
• Develop predictive models for player development, injury risk assessment, and game outcomes.
• Collaborate with coaching staff to integrate analytical insights into training regimens and tactical planning.
• Create compelling visualizations and reports to communicate analytical findings effectively to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in sports analytics, data science techniques, and relevant technologies.
• Manage relationships with external data providers and technology partners.
• Contribute to the development of the team's overall analytical strategy and data infrastructure.
• Ensure data integrity and privacy across all analytical projects.
• Present findings and recommendations regularly to senior leadership and the coaching staff.
• Research and propose innovative uses of technology and data in sports performance.

• Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, Sports Science, or a related quantitative field.
• Minimum of 6 years of experience in data analysis and statistical modeling, with a significant focus on sports analytics.
• Proven experience in a leadership or management role within an analytics team.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and database query languages (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of sports, particularly the relevant sport of the franchise, including game rules, strategies, and performance metrics.
• Strong communication, presentation, and interpersonal skills, with the ability to build rapport with diverse stakeholders.
• Excellent problem-solving and critical-thinking abilities.
• Experience working with player tracking data (e.g., optical, GPS) is highly desirable.
• Familiarity with sports performance technologies and software.

• Lead the analysis of marketing data to provide actionable insights and strategic recommendations.
• Develop and maintain marketing performance dashboards and reports.
• Track and analyze key marketing KPIs across all channels (digital, offline, social, etc.).
• Conduct customer segmentation, journey mapping, and lifetime value analysis.
• Design and implement A/B testing methodologies for campaign optimization.
• Develop and refine marketing attribution models.
• Measure and report on the ROI of marketing campaigns and initiatives.
• Collaborate with marketing teams to define analytical requirements and interpret results.
• Identify opportunities for process improvements in data collection and analysis.
• Present complex analytical findings to marketing leadership and stakeholders in a clear and concise manner.
• Stay current with advancements in marketing analytics tools and techniques.
• Mentor and guide junior analysts within the marketing team.

• Master's degree in Marketing, Statistics, Economics, Data Science, or a related quantitative field.
• Minimum of 5-7 years of experience in marketing analytics or a related analytical role.
• Proven experience in analyzing marketing data and providing strategic insights.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and analytical software (e.g., SQL, Python, R).
• Strong understanding of statistical modeling, A/B testing, and attribution modeling.
• Proficiency in web analytics platforms (e.g., Google Analytics).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication, presentation, and interpersonal skills.
• Experience working in a hybrid work environment.
• Familiarity with various marketing channels and their measurement.

• Lead the development and application of sports analytics models.
• Analyze player performance, game strategies, and team statistics.
• Develop insights into fan engagement and behavior.
• Build and maintain performance dashboards and reports.
• Collaborate with coaching, marketing, and operations teams.
• Translate data insights into actionable business recommendations.
• Mentor and manage a team of data analysts.
• Stay current with sports analytics trends and technologies.
• Identify opportunities for data-driven innovation and optimization.

• Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
• 5+ years of experience in sports analytics or a similar quantitative field.
• Proven experience with statistical modeling, machine learning, and data visualization tools (e.g., Python, R, SQL, Tableau).
• Strong understanding of sports metrics and performance indicators.
• Experience in managing and mentoring a team.
• Excellent analytical, problem-solving, and communication skills.
• Ability to present complex data insights clearly and concisely to non-technical audiences.
• Demonstrated ability to work independently and collaboratively in a remote environment.