153 Ipsos jobs in Mumbai

• Proficient in programming languages (Python, Java, etc.) and REST APIs (Azure API Management, MuleSoft, etc.) to process data
• Proficient in integrating structured, semi-structured, and unstructured data sources to deliver analytics solutions using Data Warehouse, Data Lake, and Data Hubs
• Proficient in developing and operationalizing various data distribution patterns like, APIs, event-based, pub/sub-models
• Experience in migrating data warehouses from on-premises (Teradata or similar) to cloud (Azure Synapse Analytics or similar)
• Experience in monitoring the performance of data workflows and infrastructure through the use(00 of monitoring tools (Azure Monitor, Informatica, AppDynamics, etc.) and enabling alerts for prompt resolution
• Experience with DevOps toolset (Azure DevOps, Jenkins, Bitbucket, etc.) to collaborate and deploy code
• Knowledge of Big Data Technologies (Hadoop, Spark, etc.)

• Lead and develop a team of Data Analysts.
• Build and maintain relationships with business leaders, including the IT organization, executive leadership, and operations.
• Supervise the delivery of daily, weekly, and monthly reporting requirements for the internal stakeholders. These reports include both templated reporting and newly created reporting requests.
• Provide training to internal Permanents on how to utilize tools and reports.
• Manage the creation of dashboards and reports using Microsoft Power BI and other reporting tools.
• Locate and define new process improvement opportunities.
• Execute extemporary data analysis, participate in senior-level discussions, and provide findings and best practices to senior leadership.
• Develop and implement databases, data collection systems, and other strategies to optimize quality and efficiency in the organization.

• A relevant qualification in Statistics, Math, Engineering
• Hands-on experience in Quantitative & Qualitative and Machine Learning Algorithms
• Working knowledge on computer languages like Python, Pyspark, Google Analytics, etc.
• Strong interpersonal skills and evidence of working across teams and geographies to produce timely and accurate output.
• Strong communication and influencing skills required to be successful in this role

• SQL knowledge and ability to create semi-complex queries to pull or insert data into Relationship databases - MS SQL , Oracle
• High-level understanding of Public Cloud offerings like AWS/cloud
• Working knowledge of Python, including Pandas libraries to work with larger data sets
• Working knowledge of REST API, JSON
• Experience with BigData/Hadoop/Spark
• Experience in NoSQL data stores development, like Splunk, Kafka/bigdata/spark/Hadoop

Why You'll Love Working Here

At Eide Bailly we believe respect is how to treat everyone, not just those you want to impress. Our
culture focuses on collaboration to achieve career growth. Innovation is highly encouraged, which is
where programs like our EB Xchange originate. This program allows interested tax and audit employees
to complete a rotation into a specialty area. We promote happy employees by making work/life balance
a priority along with being actively involved in our communities. Our dedication to service can be seen
through the Firm's decision to match charitable donations made by employees, as well as providing
opportunities to volunteer throughout the year. Most importantly, we like to have fun! We offer a
professional and fun work environment with frequent lunch and learns, socials, contests, outings and
other events. 

Senior Data Analytics Consultant

Typical Day in the Life

A typical day as a Sr Data Analytics Consultant may include the following:

You will build ETL processes to extract data from multiple sources and model data for analytical needs.

You will transform data through applying business rules, auditing and staging data to support system migrations. 

You will use problem solving and creativity to design and build data flows and mapping processes that are accurate and efficient.

You will provide documentation of processes built and report progress to the project lead in a timely manner.

Who You Are

You have more than 5 Years’ experience in data analytics, or 3+ years of experience with ETL in Snowflake, Azure, or python.

You are an expert with SQL 

You may have deep experience in

oTechnologies such as: Snowflake, Databricks, Azure, AWS, and NetSuite.

oPython programming

oModeling data using Kimball Method (Star Schema)

oAnalytical and visualization tools such as PowerBI or Tableau

oCloud technologies and services

Intellectual and analytical curiosity -- initiative to dig into the "why" of various results and a desire to grow responsibility and become a domain expert and strategic thought leader

You must be comfortable with uncertainty. Projects and assignments will change rapidly, so the candidate must be flexible enough to accommodate changing priorities and timelines

You have the ability to work with different departments and teams to gather complete datasets and communicate findings and practices company-wide

You are able to work independently and proactively, identifying issues and raising them to management, as well as offering potential solutions

You demonstrated experience with modeling business scenarios strongly preferred

You have a solid background in engineering, technology, mathematics, statistics, accounting, finance, or other quantitative discipline preferred.

You possess excellent communication skills with fluency in English language

Responsibilities:
Working in a challenging, fast-paced environment to create a meaningful impact on your work
Identify business problems & use data analysis to find answers
Code and maintain data platform & reporting analytics
Design, build and maintain data pipelines.

Qualifications

Desire to collaborate with a smart, supportive engineering team
Strong passion for data and willingness to learn new skills
Experience with NoSQL Databases (i.e. DynamoDB, Couchbase, MongoDB)
Experience with Data ETL tools (DBT and AWS Glue)
Expert knowledge in SQL and deep experience managing relational databases such as PostgreSQL
Experience coding in Python, Scala, or R
Strong understanding of how to build a data pipeline

**Job Description**
**Are You Ready to Make It Happen at Mondelez International?**
**Join our Mission to Lead the Future of Snacking. Make It Possible.**
You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.
**How you will contribute**
You will:
+ Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvements
+ Identify and incubate best-in-class external partners to drive delivery on projects
+ Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
+ Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
+ Build a professional and reliable team
+ Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`
**What you will bring**
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
+ Ability to influence the business agenda and make recommendations to senior leaders
+ Leadership experience in best-in-class analytics practice roles
+ Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
+ Savvy in usage of analytics techniques to create business impacts
+ Proven people leadership experience
**Role & Responsibilities:-**
As the D&A Analytics lead for India, you will lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
+ Lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities for India to deliver strong business value across all levels of the organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
+ The D&A function in India has Data Management, Analytics and Data Science resources that lead on ground activation of the BU's agenda, whilst partnering across regional (AMEA) domain leads and global central teams to deliver against business priorities - this requires strong collaboration and influencing skills to drive adoption, relevancy and business impact with speed.
+ Present, share insights with right storytelling at key leadership forums in business language
+ Building capability within the teams including leading, coaching, guiding and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.
+ Minimizing complexity, establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential.
+ Systematic, active dissemination of AMEA D&A Solutions into India where applicable and feasible.
+ Elevate India innovations to the region, helping domain leads refine innovations as regional / global capabilities that can travel.
**Creating value from business-driven data and analytics initiatives at scale.** An important task for the India D&A leader is to support the business and other stakeholders in their solving their business problems via relevant data & analytics. This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.
**Raise the level of data coverage, usage, easy access and literacy in the organization** . To become data driven the organization needs employees who can identify, understand and speak data. It will be critical to understand wide variety of diverse and most important _data sources and constructs, analytical methods and techniques in order to drive analytics at scale whether it is bespoke analytics scaled solutions or minimum viable products or self service by employees including analysts, data scientists or functional employees at large._ Activities include identifying key datasets, building reusable data assets, education and coaching of the employees to become more "data-savvy" and facilitating data-centric business thinking while accelerating pervasive and bespoke analytics.
**Helps uncover and translate business requirements and stakeholder needs.** This translation needs to be done in such a way that the technical specialists in the D&A team can understand (Data Management, Analytics Products, Partners and / or Data Science resources). This requires an understanding of both the business objectives, goals, and domain expertise, as well as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication. It will be critical to interact and build trust with India BU leadership team to support their data driven vision, strategy and operating models as well as influence & leverage broader D&A teams to deliver the roadmap for India.
The role will lead analytics delivery for India delivered initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices).
**Coach, nurture and build a agile and highly inspired team** with strong growth mindset. This requires a strong leader with empathy who can listen, guide and inspire the team while growing their capability, defining right priorities and removing barriers to execution as and when necessary.
**Managing and overseeing funds, securing the necessary funding to drive analytics agenda as well as tracking spends judiciously and negotiating with partners** to ensure money is spent on right priorities as well as manage typical project risks with right interventions proactively.
**Data & analytics** **skills**
Must have a good understanding of the concepts, methods and techniques used:
+ **Analytics** , for example diagnostic, descriptive, predictive and prescriptive.
+ **AI** , for example machine learning, natural language processing.
+ **Data management,** for example data integration (ETL) or metadata.
+ **Data architecture** , for example the difference between data warehouse, data lake or data hub.
+ **Data modelling** , for creation of right reusable data assets.
+ **Data governance** , for example MDM, data quality and data stewardship practices.
+ **Statistical skills** , for example understanding the difference between correlation and causation.
**Technology** **skills**
Good understanding of the tools and technologies in the D&A team:
+ **Programming languages** like SQL, Python or R and notebooks like R Studio or Jupyter.
+ **Data integration tools** like Informatica or Talend.
+ **Analytics and Business Intelligence tools** like Microsoft Power BI or Tableau.
**S** **oft** **skills**
+ **Leadership with high level of self-initiative and drive** , for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders.
+ **Communication** , for example conveying information to diverse audiences in a way that is easily understood and actionable.
+ **Facilitation and conflict resolution** , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
+ **Creative thinking and being comfortable with unknown or unchartered territories** , for example framing new concepts for business teams and brainstorming with business users about future product and services.
+ **Teamwork** , for example working with both business domain teams as well as D&A teams and MDS stakeholders.
+ **Collaboration** , for example fostering group problem solving and solution creation with business and technical team members.
+ **Relationship management** , for example creating relationships and builds trust with internal and external stakeholders quickly.
+ **Storytelling** , for example by creating a consistent, clear storyline for better understanding.
+ **Influencing** , for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors.
**Domain** **skills**
Must have a good understanding of the business process and associated data:
+ **Business Acumen** , for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language.
+ **Business Process Transformation** , for example ability to understand how D&A can help redesign the way work is done.
+ **Business data,** for example the structure, ownership and use within an organization.
**Other** **skills**
+ **Agility, Growth mindset will be** **crucial.**
+ **Project management capabilities including ability to manage risks** , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities.
+ **Vendor negotiation and effort estimation skills,** for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported.
+ **Business case development** , for example to help develop support for the experimenting selected use cases or measure the impact/business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain.
+ **Decision modelling** , for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models.
+ **UX/design** , for example by creating products and visualizations that are easy to work with and support the activities required by the end users.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelez International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelez International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.

To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost.

Key Responsibilities:

• Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value
• Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives.
• Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation.
• Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work.
• Collaborate closely with internal staff, users, and third parties to ensure success.
• Develop and implement advanced models and algorithms to solve complex business problems.
• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.
• Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes

Preferred Skills:

• Programming languages: Python, R or likes
• Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis
• Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning
• Statistical and Mathematical Methods: Application of statistics and prominent statistical models
• Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization

To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost.

Key Responsibilities:
Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value
Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives.
Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation.
Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work.
Collaborate closely with internal staff, users, and third parties to ensure success.
Develop and implement advanced models and algorithms to solve complex business problems.
Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.
Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes

Preferred Skills:

Programming languages: Python, R or likes
Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis
Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning
Statistical and Mathematical Methods: Application of statistics and prominent statistical models
Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization