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associate business analyst

business analyst

data analyst

data analyst investment management

MassMutual India

<div>
 
 You'll be an integral part of our esteemed Corporate Technology Team, comprised of 6 stacks: Investments, Finance, Risk &amp; Law, HR &amp; Employee Experience (EE), Data Engineering &amp; Analytics and Portfolio, and Strategy. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Analyst, you will lead the charge in extracting value from data by facilitating the creation of high-quality data solutions that drive decision-making and operational efficiency. You&rsquo;ll use your skills to provide subject matter expertise and complete in-depth data analysis, which contributes to the strategic efforts of the team. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.
 
 
 
 
 
 
 The Impact:
 
 
 <ul>
 <li>
 &bull; Analyze data related to Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing to generate actionable insights.
 </li>
 <li>
 &bull; Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.
 </li>
 <li>
 &bull; Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation.
 </li>
 <li>
 &bull; Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards.
 </li>
 <li>
 &bull; Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals.
 </li>
 <li>
 &bull; Manage and oversee investment data, ensuring its accuracy, consistency, and completeness.
 </li>
 </ul>
 
 
 
 
 
 The Minimum Qualifications
 
 
 
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Finance, Computer Science, Information Systems or related field. Experience:
 
 
 &bull; 7-9 years of experience as a Data Analyst or similar role supporting data analytics projects. &bull; 5+ years of Mastery in SQL.
 
 
 &bull; 5+ years of experience in financial services, insurance, or related industry.
 
 
 &bull; Experience with data manipulation using Python.
 
 
 &bull; Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.
 
 
 &bull; Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons. &bull; Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses.
 
 
 &bull; Experience with BI tools like Power BI, MicroStrategy, Tableau.
 
 
 &bull; Excellent communication, problem-solving, and stakeholder management skills.
 
 
 &bull; Experience in Agile/Scrum and working with cross-functional delivery teams.
 
 
 &bull; Proficiency in financial reporting tools (e.g., Power BI, Tableau).
 
 
 
 
 
 The Ideal Qualifications Technical Skills:
 
 
 &bull; Familiarity with regulatory requirements and compliance standards in the investment management industry.
 
 
 &bull; Ability to lead cross-functional teams and manage complex projects.
 
 
 &bull; Hands-on experience with IBOR&rsquo;s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.
 
 
 &bull; Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
 
 
 &bull; Experience with cloud data platforms like Snowflake and Databricks.
 
 
 &bull; Background in data governance, metadata management, and data lineage frameworks.
 
</div>

Data Analyst - Investment Management

Franklin Templeton India

<div>
 Lexington Partners is one of the world&rsquo;s largest and most trusted managers of secondary private equity and co-investment funds. Since our founding in 1994, we&rsquo;ve been at the forefront of innovation in private equity investing, managing over $70 billion in committed capital and partnering with a global network of institutional investors, private equity firms, and portfolio companies.
 
 
 As a Systems Analyst &ndash; Business Intelligence on the Data &amp; AI team at Lexington Partners, you will contribute to delivering business intelligence and data analytics solutions that drive meaningful business impact. The ideal candidate has a growth and learning mindset, is detail-oriented, and possesses strong analytical skills to navigate complex challenges. You should be comfortable working in a fast-paced, startup-like environment within an established enterprise and able to quickly adapt to new tools and solutions. You will play a pivotal role in the firm&rsquo;s business intelligence initiatives enabling data-driven decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build dashboards and analytics using Power BI, Power Query, and related tools in the ecosystem.
 </li>
 <li>
 Collaborate closely with Finance and Technology teams to deliver BI solutions.
 </li>
 <li>
 Perform system administration of Business Intelligence platforms (e.g., Power BI), including user security management and maintenance.
 </li>
 <li>
 Own regular and ad hoc operational reporting, driving continuous improvement and scalability.
 </li>
 <li>
 Work collaboratively with various business functions to understand reporting needs and deliver actionable insights.
 </li>
 <li>
 Develop and maintain scalable, automated dashboards and reports to benchmark and track progress against key operational goals and initiatives.
 </li>
 <li>
 Perform data modeling by modifying existing models or creating new ones as needed.
 </li>
 <li>
 Assist end users in building ad hoc reports through BI tools.
 
 
 </li>
 </ul>
 
 What ideal qualifications, skills &amp; experience would help someone to be successful?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Finance, Information Management, Computer Science, or a related field.
 </li>
 <li>
 Strong attention to detail and analytical thinking skills. Must be a gate-keeper for high data quality.
 </li>
 <li>
 Proficiency in SQL, PowerBI, PowerQuery, ETL techniques.
 </li>
 <li>
 Experience in Microsoft Azure and Power Platform is a plus.
 </li>
 <li>
 Knowledge of Snowflake is good to have.
 </li>
 <li>
 Versatile and Effective Communicator &ndash; able to interact with diverse group of individuals with very different styles and back grounds.
 </li>
 <li>
 Ability to implement row-level security on data and a strong understanding of application security layer models in Power BI.
 </li>
 <li>
 Capable of working independently as well as in a team-oriented environment.
 </li>
 <li>
 Excellent written and verbal communication skills, with a collaborative and ownership-driven mindset.
 
 
 </li>
 </ul>
 
 Work Shift Timings - 2:00 PM - 11:00 PM IST
 
</div>

FTI System Analyst (Data Analyst - Business Intelligence)

Azurity Pharmaceuticals

<div>
 Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company&rsquo;s patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com.
 
 
 Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
 
 
 
 Brief Team/department Description
 
 
 
 The Brand Insights analyst within the Global Business Intelligence division at Azurity Pharmaceuticals is responsible for delivering actionable insights to optimize the performance of our product portfolio. By leveraging advanced analytics, market research, competitive intelligence, and cross-functional collaboration, the team supports strategic decision-making to drive revenue growth.
 
 
 
 Principle Responsibilities
 
 
 
 This role involves the following key responsibilities:
 
 
 <ul>
 <li>
 Conduct in-depth analyses of Azurity's product performance, leveraging internal sales data and external market insights.
 </li>
 <li>
 Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs) and assess Return on Investment (ROI) of sales and marketing investments.
 </li>
 <li>
 Collaborate with cross-functional teams, including Marketing, Sales, and Portfolio Management, to align analytics with business objectives.
 </li>
 <li>
 Perform competitive analysis to understand market dynamics and positioning of Azurity's products.
 </li>
 <li>
 Provide actionable recommendations based on trend analyses and forecasting models to improve brand performance.
 </li>
 <li>
 Design and execute ad-hoc analysis to support strategic initiatives, such as new product launches or market expansion opportunities.
 </li>
 <li>
 Present findings and insights to senior leadership during quarterly business reviews and other key meetings.
 </li>
 <li>
 Monitor brand health metrics, including reach, frequency, and revenue, and identify opportunities for optimization.
 </li>
 <li>
 Partner with sales operations team to support advanced data visualizations and integration of artificial intelligence (AI) into decision-making workflows.
 </li>
 <li>
 Stay updated on industry trends and innovative tools to enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications And Education Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Analytics, Business, Marketing, or a related field (Master's degree preferred).
 </li>
 <li>
 3+ years of experience in a data analysis, market research, and/or brand insights role within the pharmaceutical industry.
 </li>
 <li>
 Proficiency in claims/Rx data platforms (e.g., IQVIA, Symphony, MMIT, EMR, RWD) and data visualization tools (e.g., Palantir, ThoughtSpot, Power BI), with advanced Excel skills.
 </li>
 <li>
 Strong analytical skills with experience in SQL, Python, or other data analysis tools.
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into actionable insights.
 </li>
 <li>
 Proven ability to manage multiple projects and deadlines in a fast-paced environment.
 </li>
 <li>
 Knowledge of Global pharmaceutical market dynamics and regulatory considerations is a plus.
 
 
 </li>
 </ul>
 By applying for this role, you confirm that you are mentally and physically capable of fulfilling the job responsibilities detailed in the job description without any restrictions. If you have any concerns or even the slightest disability that may affect your ability to perform the job, please inform HR in advance.
</div>

Analyst, Brand Insights

PepsiCo

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for Sector IBP-Forecasting Markets to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 The scope of this role oversees all the Bus in Sector Forecasting Analyst and will have a dotted line reporting relationship with the Global IBP Forecasting Excellence Lead and a solid line with the Global GCC Forecasting Lead
 
 
 This is a key role in IBP as Driver Based Forecast and the PFE are key components to enable the One Plan in the IBP/DP process
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Critical role in ownership, execution and improvement of the Driver Based Forecast in IBP or PFE Forecasting markets
 </li>
 <li>
 Lead and coordinate the team of forecasting analysts working for Sector BUs
 </li>
 <li>
 Be the main point of contact for Sector and Global IBP / S&amp;T teams and support Forecasting Analyst by BU on their BU stakeholder management.
 </li>
 <li>
 Main point of contact to coordinate and prioritize improvements to the PFE with Data Science Global teams working on the Sustain and continuous Improvement of the BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 Lead and ensure that the Forecasting Analyst perform their process and tasks in the for Short-Term, Mid-Term Forecasting Models and all the required demand streams in the BU:
 </li>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions. Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 <li>
 Coordinate Sector Forecast Accuracy reporting, Demand and Forecast Performance Analysis and Continuous Improvement Plan across Sector, defining the priorities across markets based on overall impact to the business
 </li>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 </li>
 <li>
 Support Forecasting process and tool improvement initiatives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor&rsquo;s and Master&rsquo; degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 10-12 years of over all experience with 8+ years in Demand planning or forecasting
 </li>
 <li>
 Experience at a middle level in the FMCG industry is a plus
 </li>
 <li>
 Experience in managing and organizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business acumen with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned - is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Executive Manager-Forecast Analyst-Sector lead-Supply Chain

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 
 Responsibilities
 
 
 
 Critical role in ownership, execution and improvement of the Driver Based Forecast
 
 
 <ul>
 <li>
 Lead and coordinate the the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope
 </li>
 <li>
 Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 For Short-Term, Mid-Term and Demand Sensing Forecasting Models and all the required demand streams in the BU:
 </li>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/ massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor's and Master' degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 8-10 over all years experience with 6+ years in Demand planning or forecasting
 </li>
 <li>
 Experience at a middle level in the FMCG industry is a plus
 </li>
 <li>
 Experience in managing and organizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business acumen with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned - is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Senior Manager-Forecast Analyst Bu Lead-Supply Chain

Saransh Inc

<div>
 
 We are Hiring for Business Analyst
 
 
 
 
 
 Experience: 6 &ndash; 10 Years
 
 
 Work Location: Hyderabad or Chennai or Bangalore
 
 
 Notice:0-20 Days
 
 
 Key Skills: Business Analyst, Banking domain, Finance, SQL
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Risk &amp; Finance Technology Specialist
 
 with strong expertise in SQL, database applications, and financial data models. The ideal candidate will play a key role in managing data flow, enhancing analytical systems, and supporting the migration of Essbase cubes to modern platforms.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, analyze, and optimize data flow and data models for finance and risk technology applications.
 </li>
 <li>
 Write and optimize
 
 complex SQL queries
 
 , including advanced joins and analytical functions.
 </li>
 <li>
 Work with databases such as
 
 Oracle
 
 and
 
 Netezza
 
 to develop, maintain, and troubleshoot applications.
 </li>
 <li>
 Decompose existing
 
 Essbase Cubes
 
 :
 </li>
 <li>
 Analyze cube structures and logic.
 </li>
 <li>
 Document metadata, hierarchies, and business rules.
 </li>
 <li>
 Prepare solutions for migration or rebuild on modern platforms.
 </li>
 <li>
 Collaborate with business and technology teams to ensure data integrity, accuracy, and alignment with business requirements.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proven experience in
 
 risk or finance technology
 
 domains.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and database concepts.
 </li>
 <li>
 Working knowledge of
 
 Oracle, Netezza, or similar databases
 
 .
 </li>
 <li>
 Solid understanding of
 
 data flows, data modeling, and database applications
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Essbase cubes
 
 (design, structure, business rules, and migration).
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 </ul>
 
 
 
 
 If Interested apply at
 
 shalini.v@saranshinc.com
 
 
 
 
 
 
 #RiskTechnology #FinanceTechnology #SQL #DataModeling #DataEngineering #OracleDatabase #Netezza #Essbase #DataAnalytics
 
</div>

Business Analyst

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Sr Associate / Asst Manager - Quality Analyst - Noida
 
 
 We are seeking an experienced Quality Analyst to join our team in Noida. The ideal candidate will have a strong background in Quality Assurance, Quality Analysis, and Customer experience. The successful candidate will be responsible for ensuring the highest standards of quality in our Contact Centre Operations and will play a vital role in driving business growth and excellence.
 
 
 Location
 
 
 Noida
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct call audits and quality checks to ensure adherence to quality standards
 </li>
 <li>
 Analyze call centre metrics and create reports to identify areas for improvement
 </li>
 <li>
 Develop and implement quality improvement plans to drive business excellence
 </li>
 <li>
 Collaborate with the team to ensure seamless day-to-day operations
 </li>
 <li>
 Identify trends and patterns in customer interactions to inform business decisions
 </li>
 <li>
 Develop and lead training programs to enhance customer experience
 </li>
 <li>
 Work closely with the management team to align quality objectives with business goals
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3 to 15 years of experience in Quality Analyst
 </li>
 <li>
 Proven track record of delivering quality improvement initiatives
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and leadership skills
 </li>
 <li>
 High level of expertise in 7Qc tools for Quality Assurance and Quality Analysis
 </li>
 <li>
 Experience with call centre metrics and reporting
 </li>
 <li>
 Strong understanding of customer experience and its impact on business
 
 
 </li>
 </ul>
 
 Skills Required
 
 
 
 RoleSr Associate/ Asst Manager - Quality Analyst - Noida
 
 
 Industry TypeITES/BPO/KPO
 
 
 Functional Area
 
 
 Required Education Bachelor Degree
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 CALL AUDIT
 </li>
 <li>
 QUALITY CHECK
 </li>
 <li>
 CALL CENTER METRICS
 </li>
 <li>
 QUALITY ASSURANCE
 </li>
 <li>
 QUALITY ANALYST
 </li>
 <li>
 QUALITY ANALYST - CONTACT CENTER OPERATIONS
 </li>
 <li>
 QUALITY ANALYST
 </li>
 <li>
 CUSTOMER EXPERIENCE
 </li>
 <li>
 REPORTING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1010/2025
 
 
 Recruiter NameSubashini
</div>

Sr Associate/ Asst Manager - Quality Analyst - Noida - GO/JC/1010/2025

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