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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

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

HSBC

<div>
 Job Description
 
 
 Some careers shine brighter than others.
 
 
 If you&rsquo;re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of Business Analyst
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Work within agile multi-skilled teams to create world class products to serve our customer&rsquo;s needs.
 </li>
 <li>
 Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
 </li>
 <li>
 Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
 </li>
 <li>
 Understand the "user" journey end to end which goes beyond the "system&rdquo;.
 </li>
 <li>
 Create/enhance physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
 </li>
 <li>
 Undertake the metadata analysis which includes but not limited to naming of the physical table and columns, definitions and appropriate data type and length etc.
 </li>
 <li>
 Create and maintain the &ldquo;target&rdquo; data models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 To be successful in this role, you should meet the following requirements:
 
 
 <ul>
 <li>
 Strong Data Analysis and/or Data Modeling experience.
 </li>
 <li>
 Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
 </li>
 <li>
 Comprehensive understanding of Physical Data Modeling, create and deliver high-quality data models, by following agreed data governance and standards.
 </li>
 <li>
 Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
 </li>
 <li>
 Should be an individual contributor with good understanding of the SDLC or Agile methodologies.
 </li>
 <li>
 A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
 </li>
 <li>
 Excellent communication &amp; stakeholder management skills and should be capable of building rapport and relationships.
 </li>
 <li>
 Act as a liaison between business and technical teams to bridge any gaps and assist the business teams &amp; technical teams to successfully deliver the projects.
 </li>
 <li>
 Other Skills &amp; Tools: SQL, MS-Office tools, GCP Big Query, Erwin (preferable), Visual Paradigm (preferable).
 
 
 </li>
 </ul>
 www.hsbc.com/careers
 
 
 HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 Issued by &ndash; HSBC Software Development India
</div>

Data Expert (Data Analyst & Data Modeler)/Business Analyst

NxtWave

<div>
 
 
 Are you a highly analytical and driven finance professional looking to make an impact in a fast-paced environment? We're seeking a
 
 Financial Analyst
 
 to join our
 
 Finance &amp; Legal
 
 department in
 
 Hyderabad
 
 . Reporting to the Finance Manager, you'll play a crucial role in providing key financial insights to our founders, investors, and stakeholders, contributing to strategic decision-making and business growth.
 
 
 
 
 
 
 
 
 
 
 
 What You'll D
 
 
 <ul>
 <li>
 
 o:Financial Reporting &amp; Analysi
 
 s: Prepare comprehensive monthly Management Information System (MIS) reports for founders, investors, and other stakeholders, ensuring clarity and accurac
 </li>
 <li>
 
 y.Cost Management &amp; Performance Monitorin
 
 g: Develop and maintain cost sheets for all organizational departments, closely monitoring key performance indicators (KPIs) to assess efficiency and drive accountabilit
 </li>
 <li>
 
 y.Budgeting &amp; Forecastin
 
 g: Lead the preparation of the annual budget, collaborating closely with business units to ensure accurate projections that align with strategic objective
 </li>
 <li>
 
 s.Strategic Insight
 
 s: Analyze market trends, competitor positioning, and industry benchmarks to provide senior management with actionable strategic insight
 </li>
 <li>
 
 s.Profitability Analysi
 
 s: Track and analyze program-level profitability, meticulously assessing customer acquisition costs (CAC), lifetime value (LTV), and churn rates to inform and optimize pricing and marketing strategie
 </li>
 <li>
 
 s.Ad-hoc Project
 
 s: Undertake various ad-hoc analyses and special projects as required by founders and senior managemen
 </li>
 </ul>
 
 
 
 
 
 
 
 
 t.
 
 
 What You'll Br
 
 
 <ul>
 <li>
 
 ing:Educat
 
 ion: A Bachelor's degree in Finance, Accounting, or a related field is required. An MBA in Finance, CA Inter, or other finance-related certifications are a p
 </li>
 <li>
 
 lus.Experie
 
 nce: 0-2 years of progressive experience in financial analysis, budgeting, or Financial Planning &amp; Analysis (FP&amp;A). Experience within the EdTech, technology, or education services industry is id
 </li>
 <li>
 
 eal.Technical Proficie
 
 </li>
 <li>
 ncy:Demonstrated proficiency in financial modeling and data analysis tools, including advanced Ex
 </li>
 <li>
 cel.Experience with data visualization platforms (e.g., Power BI, Tableau) is prefer
 </li>
 <li>
 red.Familiarity with ERP systems and financial reporting software is a p
 </li>
 <li>
 
 lus.Analytical Acu
 
 men: A strong analytical mindset with the proven ability to interpret complex financial data, identify critical trends, and translate them into actionable insig
 </li>
 <li>
 
 hts.Communicat
 
 ion: Excellent communication and presentation skills, with the ability to convey complex financial information clearly and concisely to diverse audien
 </li>
 </ul>
 
 
 
 
 
 
 
 ces.
 
 
 If you're a proactive and detail-oriented financial professional eager to contribute to a dynamic team, we encourage you to
 
 
 
 
 apply!
</div>

Financial Analyst

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

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

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