1127 Senior Data Analyst jobs in Bengaluru

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Support the creation of reports and dashboards using BI tools (e.g., Tableau, Power BI).
• Collaborate with team members to understand data requirements and translate them into analytical tasks.
• Conduct research and gather information to support data-driven projects.
• Help in validating data accuracy and integrity.
• Learn and apply new data analysis techniques and tools.
• Document data sources, methodologies, and findings.
• Contribute to team meetings and provide input on data analysis strategies.
• Assist in presenting analytical findings to team members.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data manipulation tools such as Microsoft Excel (including pivot tables, VLOOKUP).
• Exposure to SQL or Python for data analysis is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively as part of a team.
• Eagerness to learn and adapt to new technologies.
• Strong organizational skills and the ability to manage multiple tasks.

Curefit Healthcare Pvt Ltd, founded in 2016, is India's largest fitness company and wellness platform. Cult, from the house of Curefit, was established with a mission to make fitness easy, fun and accessible to everyone, and has emerged as a community celebrating the joy of fitness. The brand today offers a range of fitness services ranging from group workouts, gyms and personalized fitness solutions, as well as an expansive selection of quality fitness products for the everyday athlete. The company's vision is to empower everyone towards an active and healthier lifestyle through innovative fitness solutions, enabled by technology.

As a Sr Executive in our Contact Center Control Tower, you will be central to ensuring smooth and efficient operations. You'll be responsible for managing MIS, Workforce Management (WFM), and Real-Time Management (RTM) functions. Your key focus will be on monitoring real-time performance, analyzing data to identify trends and issues, deriving actionable insights, and driving course correction to optimize our sales and customer support teams.

Roles & Responsibilities

• MIS & Reporting: Develop and maintain key performance reports and dashboards. Ensure data accuracy for decision-making.
• Workforce Management (WFM): Oversee scheduling, forecasting, and capacity planning to meet operational needs.
• Real-Time Management (RTM): Monitor live contact center activity and agent performance. Identify and address immediate operational challenges.
• Real-Time Monitoring: Continuously track key metrics and agent adherence to schedules. Flag deviations and escalate as needed.
• Data Analysis & Insights: Analyze performance data to identify trends, root causes of issues, and opportunities for improvement.
• Course Correction: Based on real-time observations and data analysis, recommend and implement immediate adjustments and long-term solutions to enhance efficiency and KPIs.
• Collaboration: Work closely with operations managers, team leaders, and other stakeholders to ensure alignment and effective strategy execution.

Qualifications:

• Bachelor's degree in a relevant field.
• Proven experience (typically 3+ years) in contact center operations, directly involved in MIS, WFM, and/or RTM.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools (e.g., Excel, Google Sheets, and SQL is a plus) and contact center technology.
• Ability to interpret data, identify trends, and translate findings into actionable steps.
• Excellent communication and collaboration skills.
• Understanding of key contact center metrics and KPIs.
• Ability to work effectively in a fast-paced, real-time environment.

Company Description

House Construct, founded in 1997, is a construction company committed to creating exceptional living spaces. With over two decades of experience and more than 400 satisfied clients, we pride ourselves on innovation, quality, and sustainability. Our projects reflect our dedication to precision and the highest standards in construction. Every project speaks to our unwavering commitment to turning dreams into reality.

Role Description

This is a full-time on-site role for a Data Analyst, located in Bengaluru. The Data Analyst will be responsible for analyzing data, performing data modeling, conducting statistical analyses, and delivering insights that support our decision-making processes. The role also includes presenting findings and communicating complex data insights to various stakeholders effectively.

Qualifications

• Strong Analytical Skills and expertise in Data Analytics
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills, both written and verbal
• Attention to detail and the ability to work independently
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• Experience in the construction industry is a plus
• Proficiency in data visualization tools and software

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We're here to better our world with biology.

• Main tasks:

Describe the focus for the employee and list the 3-5 most important tasks in a prioritized order.

• Analyze supply chain data to identify trends, inefficiencies, and opportunities for improvement.
• Develop and maintain Power BI dashboards and reports to support decision-making.
• Collaborate with cross-functional teams to gather requirements and deliver actionable insights.
• Monitor key performance indicators (KPIs) and provide regular updates to stakeholders.
• Support forecasting and inventory optimization efforts using data-driven approaches.
• Other tasks:

Less frequent but necessary actions - Assist in the implementation of new supply chain technologies and tools.

• Conduct ad-hoc analyses to support strategic initiatives.
• Key stakeholders:

Describe who this employee will be working with. This includes both external and internal stakeholders – also in the team/department.

Specify how they will be working together. Supply chain and Planning team: - Collaborate on performance metrics and process improvements.

• Provide insights on performance and cost analysis.
• Coordinate on data integration and system enhancements.
• Align on budgeting and cost-saving opportunities.
• Industrial/technical background

Describe the expected background of the employee – e.g., types of relevant experience with various industries, technologies, strategic competencies, requirements, knowledge. - Experience in supply chain analytics, logistics, or operations.

• Proficiency in data analysis tools such as SQL, KNIME, Python, Excel, and Power BI.
• Understanding of ERP systems (SAP, Salesforce) and supply chain management software.
• Expected educational background & years of experience from a similar position Relevant educational backgrounds:
• Bachelor's or Master's degree in supply chain management, Data Science, Business Analytics, or related field.

Relevant Professional Skills

• Data analytics with ETL and BI tools

Years Of Relevant Experience

• 4 to 8 years of experience in data analysis

Language Requirements And Proficiency Level

• Proficiency in English; additional languages are a plus.
• Personal/behavioral skills

Describe the personality traits required to succeed in the role.

Detail-oriented and highly organized.

Strong critical thinking and analytical mindset.

Ability to work independently and in a team environment.

Adaptable to changing priorities and fast-paced environments.

Could our purpose be yours?
Then apply today
At Novonesis we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We recommend you not to attach a cover letter to your application. Instead, please include a few sentences in your resume/CV about why you are applying. To ensure a fair recruitment process, please refrain from adding a photo in your resume/CV.

Novonesis is dedicated to fostering a unique community by embracing and respecting differences. We make all employment decisions based on business needs, ensuring that every individual can thrive, regardless of identity or background such as ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.

Want to learn more?
Learn more about Novonesis, our purpose, and your career opportunities at

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At Novonesis, We Are Committed To Maintaining a Safe And Transparent Recruitment Process. Please Be Aware Of Potential Scams Targeting Job Seekers And Take Note Of The Following

• Novonesis will never ask for sensitive personal information, such as bank account details, Social Security numbers, or passwords, at any stage of the hiring process.
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If you receive suspicious communication claiming to be from Novonesis, please do not share any personal or financial information.
We encourage you to verify the legitimacy of the message by contacting us directly through our official channels.

Job Summary

Data Analysts II are the drivers for analytics tasks such as reporting, visualization and analysis needs within their area. They have a high level understanding of the business problems in their area and collaborate closely with the business stakeholders to solve them through application of data analytics. They use their experience and consultation with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience. Data Analysts II are able to manage junior to mid level stakeholders autonomously (seeking for help with more senior stakeholders) based on their experience and practical understanding of business concepts to prioritize for business impact, efficiently adapt to business needs, and manage expectations accordingly. They combine their understanding of the business with the knowledge of data, workflows, methods and tooling to autonomously drive analysis and reporting within the scope of their team. They can find opportunities to apply new concepts and approaches into action when business and user needs demand it. They aim to deliver scalable, reproducible and long-term focused solutions in every area of their work (ie. reporting, visualization, influencing business decisions through data, etc). They collaborate, mentor peers in their team and follow best practices ensuring data quality and stability.

Key Responsibilities

1. Responsible for owning the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.

2. Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value.

3. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for a product / business topic in the area they work in, occasionally collaborating across multiple teams.

4. Responsible for leveraging previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions in the most efficient way. They understand stakeholder needs and create intuitive and insightful visualizations that translate data into actionable insights to answer those needs. 5. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.

5. Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.

6. Responsible for leveraging Data Analytics for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.

7. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.

8. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.

9. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. 11. Responsible for collaborating with peers in related crafts (ie.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.

10. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).

11. Responsible for ensuring quality of their own work by validating it through peer review.

12. Responsible for influencing business decisions within their specific area (ie. product team).

Key Skills

1. Responsible for owning the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.

2. Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value.

3. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for a product / business topic in the area they work in, occasionally collaborating across multiple teams.

4. Responsible for leveraging previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions in the most efficient way. They understand stakeholder needs and create intuitive and insightful visualizations that translate data into actionable insights to answer those needs. 5. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.

5. Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.

6. Responsible for leveraging Data Analytics for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.

7. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.

8. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.

9. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. 11. Responsible for collaborating with peers in related crafts (ie.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.

10. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).

11. Responsible for ensuring quality of their own work by validating it through peer review.

12. Responsible for influencing business decisions within their specific area (ie. product team).

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
Caring. Connecting. Growing together.
As a Medicare Risk Adjustment Data Analyst, you'll play a crucial role in supporting the development and enhancement of new analytical applications related to Medicare risk adjustment as well as supporting existing applications such Attribution Analytics, Financial Risk Adjustment and Management Engine.

Primary Responsibilities
This position is for Attribution Market Analytics team and upon selection, you will be part of dynamic team working on developing and delivering Best in-class Analytics for end users. Your work will focus on understanding CMS Medicare Advantage business and developing best in-class Analytics for Attribution Market Analytics team according to Business/Technical requirements. Here are the key responsibilities, qualities and experience we will look for in an ideal candidate:

• Gather and analyze business and/ or functional requirements from 1 or more client business teams
• Validate requirements with stakeholders and day to day project team, provide suggestions and recommendations in line with industry best practices
• Developing and delivering Best in-class Analytics for end users using Big Data and Cloud platforms
• Document, discuss and resolve business, data, data processing and BI/ reporting issues within the team, across functional teams, and with business stakeholders
• Present written and verbal data analysis findings, to both the project team and business stakeholders as required to support the requirements gathering phase and issue resolution activities
• Manage changing business priorities and scope and work on multiple projects concurrently Self - motivated and proactive with the ability to work in a fast - paced environment
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualities

• Proven interpersonal, collaboration, diplomatic, influencing, planning and organizational skills
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to effectively use complex analytical, interpretive and problem-solving techniques
• Proven relationship management skills to partner and influence across organizational lines
• Demonstrated ability to be work under pressure and to meet tight deadlines with proactive, decisiveness and flexibility

Required Qualifications

• 4+ years of work experience in SQL or associated languages
• 3+ years of work experience with python, spark and HIVE and solid experience in developing Analytics at scale using Python, Spark and HIVE
• 2+ years of work experience - Ability to convert Business requirements into technical requirements and ability to develop Best in class code as per Technical/Business requirements
• 1+ years of work experience in developing Analytics pipeline on Cloud platform
• Basic knowledge of AI concepts and practical understanding of how to leverage AI tools and technologies to enhance data analytics workflows and solutions

Preferred Qualifications

• Domain Experience:

• Understanding of Medicare risk adjustment programs

• Understanding of CMS datasets such as MMR/MOR/EDPS etc.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.