Data Analytics jobs in India

This is part of the D&A Insights team for the client. Majority of the work would be into production support, incident handling, ticket resolutions, enhancing the existing projects and capabilities with respect to Data Analytics. We are looking for a leader with 14-18 years of experience and good experience into Managed Services teams and organisations. THIS ROLE WILL BE BASED ON US TIMINGS AND WILL HAVE ROTATIONAL SHIFTS.

The MDM - Tower Lead (Master Data Management) is responsible for managing the day-to-day operations of the Master Data Management (MDM) team and spearheading various data-related projects.

The Sales Analyst will be responsible for analyzing sales data, forecasting future sales trends, and assisting the team in making data-driven decisions to optimize sales performance in the FMCG sector.

The Manager/Sr Manager of Data Engineering will lead a team to develop, test, and maintain data architectures in the life science and pharmaceutical industry.

The position will be accountable for managing existing team of data science in developing analytical models and algorithms. The role will also require the individual to drive the data strategy and create optimal data science solutions for the company.

• Advanced knowledge of data security
• Excellent communication skills toward facilitating the use of a new software system
• Strong data-gathering and analysis skills
• Strong technical understanding of business analysis frameworks and business processes
• Good understanding of SQL
• Proven ability to integrate into a team and build relationships with senior leaders and managers
• Identifying functionalities and system efficiency by working with end users, and internal department

Leadership role in overseeing the company's analytics function. This individual will be responsible for developing and executing the data strategy, utilising advanced analytics and machine learning techniques to derive actionable insights that drive key business decisions and enhance product offerings. The role demands a combination of strategic thinking, technical expertise, and the ability to guide teams in leveraging data

As Manager, you will play a key leadership role in the strategy and execution of automated evidence-generating studies.

You will lead a team of clinical data analytics engineers through the design and implementation of data pipelines to acquire, process, and review complex clinical data from sites participating in clinical studies.

As a Product Champion, you'll leverage your creativity, analytical abilities, and leadership from day one. Collaborate with skilled product managers, designers, and data engineers to create world-class analytics products that tackle major customer challenges and transform teamwork. This is an exciting chance to lead the analytics domain as a PM, shaping how companies engage with and connect their employees across the platform.

• About 4 to 5 plus years of experience in data science, analytics, or related roles within the retail industry.

Strong knowledge of data science techniques, including machine learning, statistical modeling, and data visualization.

Drive and manage the full accounting team performance of the end to end Record-to-Report (R2R) process, including reporting and year-end audit process, and ensure the team's operations align with the business objectives.Location: Pune | Title: Senior Manager - Record to Report - R2R | CA | 8 to 12 years | Industry: Marketing (Data Management and Analytics)

This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights

Job Summary:We are seeking a highly skilled and experienced Data Analyst/Scientist to join our team. The ideal candidate will have a strong background in data analysis and programming, with expertise in both Python and SAS. This role involves analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

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  Data Analysis:
  • Collect, clean, and preprocess large datasets from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  • Apply statistical techniques and advanced analytical methods to solve business problems.
• 
  
  Programming:
  • Develop and maintain scripts and programs in Python and SAS.
  • Automate data processing and analysis workflows using Python and SAS.
  • Implement and optimize predictive models using machine learning techniques.
• 
  
  Reporting and Visualization:
  • Create interactive dashboards and reports using tools such as Tableau, Power BI, or similar.
  • Present findings and insights to stakeholders through clear and concise visualizations.
• 
  
  Collaboration:
  • Work closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
  • Provide technical guidance and mentorship to junior team members.
• 
  
  Continuous Improvement:
  • Stay up-to-date with the latest trends and technologies in data science and analytics.
  • Propose and implement improvements to existing processes and methodologies.

Qualifications:

• 
  
  Education:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 
  
  Experience:
  • Proven experience in data analysis, statistical modeling, and programming.
  • Strong proficiency in Python and SAS.
  • Experience with data visualization tools and techniques.
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, etc.).
• 
  
  Skills:
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong organizational and project management skills.

Preferred Qualifications:

• Experience in the [insert relevant industry, e.g., finance, healthcare, marketing, etc.] industry.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Location - Pune, Mumbai