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Data Unveil

<div>
 
 
 About us:
 
 At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client&rsquo;s vision and drive business success.
 
 
 &nbsp;
 
 
 Position Title: Data Analyst
 
 
 
 Experience - 2 Years to 4 Years
 
 
 
 Location: Hyderabad, Telangana.
 
 
 Hire Type: Full Time
 
 
 Start Date: Immediate
 
 
 
 
 
 
 Introduction:
 
 As a key member of our analytics team, the Data Analyst will leverage BI tools to create impactful insights that drive decision-making and strategic planning. The ideal candidate will possess a strong foundation in data analysis methodologies and experience in BI platforms. This role requires a proactive individual who can collaborate with various teams to understand business needs and deliver comprehensive data-driven solutions.
 
 
 &nbsp;
 
 
 
 Key Responsibilities:
 
 
 <ul>
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 Assist in the development and management of BI dashboards and reports to provide actionable insights into key business performance metrics.
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 Work with cross-functional teams to gather, interpret, and utilize data to influence business decisions.
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 Perform data extraction, cleaning, and analysis using SQL and other data manipulation languages.
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 Create visualizations that effectively communicate trends, patterns, and predictions using relevant data.
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 Implement and maintain best practices for data security and quality.
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 Assist in the development and deployment of data models and databases.
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 Continuously improve existing BI systems and processes by conducting regular system assessments and implementing new technologies as needed.
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 Provide training and support to business users to enhance their understanding of BI tools.
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 </ul>
 
 &nbsp;
 
 
 
 Required Skills and Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Computer Science, Information Technology, or a related field.
 </li>
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 Minimum of 2 years of experience as a Data Analyst or in a related role.
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 Strong knowledge of BI tools such as Power BI, Tableau, or similar data visualization tools.
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 Proficient in SQL and familiarity with programming languages like Python or R.
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 Excellent analytical, problem-solving, and organizational skills.
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 Strong communication skills, with the ability to convey complex data in a clear and concise manner.
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 Ability to work independently and collaboratively in a team environment.
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 </ul>
 
 &nbsp;
 
 
 
 Desirable Skills:
 
 
 <ul>
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 Experience with cloud services like AWS, Azure, or Google Cloud.
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 Knowledge of machine learning techniques and their applications in business analytics.
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 Knowledge of data cleansing and preparation.
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 Background in statistical analysis and model development.
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 </ul>
 
 &nbsp;
 
 
 
 
 
 Job description
 
 
 
 About us:
 
 At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client&rsquo;s vision and drive business success.
 
 
 &nbsp;
 
 
 
 Position Title: Data Analyst
 
 
 
 Location: Hyderabad, Telangana.
 
 
 Hire Type: Full Time, on-site.
 
 
 Start Date: Immediate.
 
 
 &nbsp;
 
 
 
 Job Summary:
 
 We seek a highly analytical and detail-oriented individual to join our team as a Data Analyst. The successful candidate will interpret data, analyze results, and provide insights to support decision-making across various departments. The ideal candidate should possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex findings effectively.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and correlations.
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 Develop and maintain reports, dashboards, and visualizations to present key insights to stakeholders.
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 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
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 Conduct ad-hoc analysis to address specific business questions and challenges.
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 Identify opportunities for process improvement and efficiency gains through data analysis.
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 Stay updated on industry trends and best data analytics and visualization practices.
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 Communicate findings and recommendations to technical and non-technical audiences through written reports and presentations.
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 &nbsp;
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 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in mathematics, Statistics, Computer Science, or a related field.
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 Proven experience as a data analyst or in a similar role, with a strong track record of delivering actionable insights.
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 Proficiency in SQL for data manipulation and extraction.
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 Experience with statistical analysis tools.
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 Strong analytical and problem-solving skills, with the ability to work with large datasets.
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 Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members at all levels of the organization.
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 Detail-oriented, organized, and able to manage multiple projects simultaneously.
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 Experience working with cloud-based data platforms such as AWS or Azure is desirable.
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 </ul>
</div>

Data Analyst

SoftClouds

<div>
 
 
 Job Title: Data Analyst
 
 
 
 
 
 Location: Onshore/Offshore
 
 
 
 
 
 Employment Type: Full Time
 
 
 
 
 
 
 
 
 Job Summary:
 
 We are seeking a Data Analyst with 5+ years of experience in data analysis, reporting, and visualization. The ideal candidate will be highly skilled in Qlik and Snowflake, with the ability to extract, prepare, and deliver accurate data for business needs. This role will also involve building impactful dashboards, answering stakeholder questions, and ensuring data accuracy and governance. A proactive, business-focused mindset is essential to succeed in this role.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 &middot; Build and maintain Qlik dashboards and reports to deliver clear, actionable business insights.
 
 
 
 &middot; Work with Snowflake to extract, prepare, and transform data, ensuring accuracy and availability.
 
 
 
 &middot; Partner with the architecture team to align reporting and analytics with data models and structures.
 
 
 
 &middot; Help design and maintain the data dictionary in DBT, ensuring consistency and clarity in data definitions.
 
 
 
 &middot; Proactively source data and deliver insights that add value to business operations and strategy.
 
 
 
 &middot; Collaborate with business users to answer data-related questions and support data-driven decision-making.
 
 
 
 &middot; Ensure the quality, accuracy, and integrity of data used across reports and dashboards.
 
 
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 &middot; 5+ years of experience in data analysis, reporting, or business intelligence.
 
 
 
 &middot; Strong expertise in Qlik (QlikView / Qlik Sense) for reporting and dashboard development.
 
 
 
 &middot; Proven hands-on experience with Snowflake (SQL, data modeling, and optimization).
 
 
 
 &middot; Experience in data preparation, transformation, and analysis.
 
 
 
 &middot; Ability to communicate effectively with business stakeholders and translate requirements into actionable insights.
 
 
 
 &middot; Strong analytical and problem-solving skills.
 
 
 
 &middot; Certifications in Snowflake, Qlik, or AWS are a strong plus.
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 &middot; Experience with AWS cloud services (e.g., S3, Glue, Redshift).
 
 
 
 &middot; Familiarity with DBT for data documentation and transformation.
 
 
 
 &middot; Exposure to IoT data sources or large-scale datasets.
 
 
 
 &middot; Proficiency with Python or SQL scripting for data analysis.
 
 
 
 
 Education:
 
 
 
 
 &middot; Bachelor&rsquo;s degree in Data Analytics, Computer Science, Information Systems, or a related field (required).
 
 
 
 
</div>

Technogen India Pvt. Ltd.

<div>
 
 
 Role:-Data Analyst
 
 
 
 
 Exp:- 6-13 Yrs
 
 
 
 
 Location:-Hyderabad
 
 
 
 
 
 
 
 Primary Skills:- ETL,Informatica,Python, SQL,BI tools and Investment Domain
 
 
 
 
 
 
 
 Please share your resumes to ramanjaneya.m@technogenindia.com ,
 
 
 
 
 
 
 
 Job Description:-
 
 
 
 
 
 
 
 The Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field.
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 Experience: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
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 Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis.
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 Advanced SQL skills: proficiency in Python is a strong plus.
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 Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
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 Experience working in hybrid onshore-offshore team environments.
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 Deep understanding of data modelling concepts and experience working with relational and dimensional models.
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 Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
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 A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
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 Strong understanding of life insurance products and business processes across the policy lifecycle.
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 Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.
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 Quantitative Finance: Understanding of financial modelling, risk management, and derivatives.
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 Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.
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 </ul>
 
 The Ideal Qualifications
 
 
 Technical Skills:
 
 
 
 
 <ul>
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 Proven track record of Analytical and Problem-Solving skills.
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 A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting
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 Strong data analysis skills for extracting insights from financial data
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 Proficiency in data visualization tools and reporting software is also important.
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 Experience integrating financial systems with actuarial, policy administration, and claims platforms.
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 Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements.
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 Experience with General Ledger systems such as SAP and forecasting tools like Anaplan.
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 </ul>
 
 Soft Skills:
 
 
 
 
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 Exceptional communication and interpersonal skills.
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 Ability to influence and motivate teams without direct authority.
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 Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.
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 What to Expect as Part of MassMutual and the Team
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 Regular meetings with the Corporate Technology leadership team
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 Focused one-on-one meetings with your manager
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 Access to mentorship opportunities
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 Access to learning content on Degreed and other informational platforms
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 Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
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 </ul>
 
 
</div>

Blue Spire Inc

<div>
 
 
 Role overview:
 
 
 
 
 
 
 Blue Spire is looking for a Data Analyst to join our growing data team. The ideal candidate will
 
 
 play a key role in ensuring the authenticity, integrity, and usability of data from diverse sources.
 
 
 You will work closely with data scientists and business stakeholders to transform raw data into
 
 
 actionable insights, support solution implementation, and drive data-driven decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform data profiling across data lakes, files, and other data sources to ensure quality
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 </ul>
 
 and usability.
 
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 Ensure data authenticity, integrity, and reliability across all datasets.
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 Collaborate with data scientists and business stakeholders to understand business requirements and provide guidance on solution implementation.
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 Collect and integrate data from multiple sources including databases, APIs, and third party platforms.
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 Clean, pre process, and standardize data, handling missing values, correcting errors, and ensuring consistency.
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 Structure and transform raw data into usable formats for analysis and modeling.
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 Prepare datasets for modeling, including splitting into training and testing sets and maintaining quality standards.
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 Conduct exploratory data analysis (EDA) to understand data distributions, correlations, and anomalies.
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 Apply statistical techniques to identify trends, patterns, and insights that support decision-making.
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 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Graduate in Statistics, Mathematics, Computer Science or MBA in Data Science / Business Analytics.
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 Strong understanding of data profiling, cleaning, and preparation techniques.
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 6+ years of proficiency in SQL, Python, or R for data analysis and preprocessing.
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 Familiarity with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).
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 Knowledge of statistical methods and machine learning basics is an advantage.
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 Strong communication and problem-solving skills with ability to collaborate across teams.
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 </ul>
</div>

Aditi India

<div>
 
 
 
 Summary:
 
 
 
 
 Typical day role will have data quality judgements, data extraction, updating data using tools, periodically creating updates by running tools, given the guidelines.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Apply knowledge and experience to create processes and methods for curating data depending on the kind of Segment, Entity and its attributes
 
 
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 Apply business logic for comparing data feeds in a multi-partner environment, algorithmically
 
 
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 Always focus on improving precision levels of a given feed effectively &amp; efficiently
 
 
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 Create useful and productive tools in the management of data using any scripting language
 
 
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 Closely interact with program managers and the engineering teams. Support them with eliminating data quality issues earlier in the lifecycle
 
 
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 Follow project planning and milestone driven task completion
 
 
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 Breakdown the tasks to assignable chunks and make sure the team meets the overall timelines
 
 
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 Timely reporting of status for the team as well as self, as determined by the manager
 
 
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 Meaningful escalation of issues
 
 
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 Participating in client calls &amp; Daily scrum
 
 
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 </ul>
 
 &nbsp;
 
 
 
 Requirements:
 
 
 
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 3 to 5 years of experience data analytics. Previous MS experience would be an advantage but not mandatory.
 
 
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 Candidate performance will be measured on types of challenges handled, people abilities, communication
 
 
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 Any degree education with relevant skills.
 
 
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 Proven data analytics experience in similar roles
 
 
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 Good problem-solving skills
 
 
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 Working knowledge of MS Excel
 
 
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 </ul>
 
 &nbsp;
 
 
 #AditiIndia
 
 
 
 #
 
 
 25-22132
 
 
 
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</div>

Data Analyst 3

PepsiCo

<div>
 
 Overview
 
 
 
 This position will be part of the GBS organization supporting Frito Lay North America business retail customer team. The TPM analyst is critical to maintain promotions backend data both on internal systems and external systems. The analyst will be also responsible to process promotion invoices and sharing new item information with the retailer teams. The analyst will be working with the Lead analyst who will channel work on various work groups mentioned above or outside of it. The analyst role is business impacting and time bound; accuracy and timeliness of completion of tasks is critical for the PC team&rsquo;s success in turn the sales teams&rsquo;. The TPM analyst will be expected to work on transformation initiatives of their respective processes and bring in their learnings to streamling, automate and effectively lay down processes with the Lead analyst support.
 
 
 
 Responsibilities
 
 
 
 Functional Responsibilities
 
 
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 Associate TPM analysts work with the Lead analyst to pick up format / region responsibilities.
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 Ensure delivering below work tasks adhering to SLAs and OLAs.
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 Promo data ingestion in Pepsico internal systems and customer external portals for trade planning, demand planning.
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 Contract management which is an agreement between retailer and Pepsico to be managed end to end for upcoming promotions.
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 Update TPM events , Deal sheets and New item maintenance based on promotions discussion with retailers and price changes.
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 Processing and reconciliations of Payments/Deduction invoices and monitor approvals from Stakeholders and its timeliness
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 Invoice analysis, breakdown by segmentation and ensure timely closure of tactics post payments and manage trade Spend in respective accounts.
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 Communicate Risks and Opportunities to Sales team /Control/Finance.
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 Validate Tactic pricing with Pricing Grids for any discrepancy in accruals and invoice
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 <li>
 Payments and funding tracking for vendors
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 Manage expectations through verbal and written interactions with internal teams that includes sales, Finance and Control
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 Ensure delivery of accurate and timely payment data in accordance with agreed service level agreements (SLA)
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 Implement continued improvements and simplifications of processes, standardization of reporting and optimal use of technology (Automation)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3-5 years of experience in Operations Finance/Sales (for L4)
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 <li>
 Bachelor&rsquo;s in commerce/business administration/marketing or Finance, Master&rsquo;s degree is a plus
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 <li>
 Prior Fast Moving Consumer Goods (FMCG) company experience preferred
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 Analytical Skills: Good data skills and ability work through large data sets
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 Communication: Strong communication skills and collaboration skills
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 Strong written and verbal communication skills
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 <li>
 Excellent organisation and prioritisation skills
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 Proactive, responsive and results driven
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 <li>
 Highly proficient in Microsoft Office especially Excel and PowerPoint
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 </ul>
</div>

Assistant Manager : Sales

Turing

<div>
 
 
 About Turing:
 
 
 
 Turing is one of the world&rsquo;s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
 
 
 Turing helps customers in two ways: Working with the world&rsquo;s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
 
 
 
 
 
 
 Role Overview:
 
 
 
 In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong finance background, analytical thinking and English comprehension skills.
 
 
 The ideal candidate should have the ability to read, summarize, and break down large financial content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles!
 
 
 
 
 
 The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
 
 
 
 
 
 
 What You'll Do Day-to-Day:
 
 
 <ul>
 <li>
 Solve complex financial and logical reasoning problems that test and train LLMs.
 </li>
 <li>
 Analyze financial statements, models, and business scenarios to assess accuracy and factual consistency.
 </li>
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 Summarize financial reports or investment theses and validate claims through online research.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Qualification: Cleared CFA Level 1/2/3, or or have completed their CA / CPA certification or completed their MBA in Finance.
 </li>
 <li>
 Strong understanding of financial concepts, accounting principles, and investment analysis.
 </li>
 <li>
 Analytical mindset with the ability to research, verify, and reason logically.
 </li>
 <li>
 Excellent English comprehension and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in roles such as: Financial Analyst, Financial Writer, Investment Analyst, Audit Associate, etc.
 </li>
 <li>
 Familiarity with tools like Excel, Google Sheets, and financial modeling.
 </li>
 <li>
 Proficiency in quantitative reasoning, logical deduction, and data interpretation.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing:
 
 
 <ul>
 <li>
 Work on the cutting edge of AI and finance.
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 <li>
 Fully remote and flexible work environment.
 </li>
 <li>
 Exposure to advanced LLMs and insight into how they&rsquo;re trained.
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisted experts may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Finance & Research Analyst - 33806

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Data Analyst

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Assistant Manager : Sales

Remote Finance & Research Analyst - 33806