Data and Analytics Specialist Job at CNH Industrial (Greater Noida)

Data & Analytics Specialist

GoFundMe is looking for a dedicated Data & Analytics Specialist to join our Emer...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

Highly data-driven and excited to grow your career in Data Analytics
Currently pursuing a degree related to Analytics, Data Science, Computer Science or Operations Research
Have an understanding of data visualization and BI tools (i.e. Looker or Tableau)
Familiarity with SQL and cleaning/processing data
Passion for organization and documentation
Strong written and verbal communication skills and ability to build strong relationships and trust with all partners at GoFundMe both technical and non-technical

Job Responsibility

Provide data-driven analyses using SQL and/or Looker to inform our roadmap and deliver insights to our stakeholders
Inventory BI environment and work with stakeholders to gather usage requirements and develop documentation
Clean and organize data from various sources into our Snowflake Warehouse
Develop high-level dashboards in Looker to support data-driven strategy and insights
Collaborate with the Decision Science team to drive ad hoc requests and define metrics for dashboard development
Identify hypotheses, participate in experiment design
make clear, coherent and holistic recommendations based on test results

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Data Analytics Specialist

The Data/Information Mgt Int Anlst is a developing professional role. Deals with...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 5-8 years relevant experience
Ability to think strategically and engage resources outside of direct control
Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
Big data and machine learning experiences (R, Python etc.) a plus
Business Analysis, Requirement Gathering, Data Analysis
Exposure in SAS, SQL, RDBMS
Proficient in MS Excel, PowerPoint, and VBA
Jira, Bitbucket
Good understanding of banking domain and consumer products (cards, Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) preferred
Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute

Job Responsibility

Remediation analysis: Execution of comprehensive data remediation approach on Customer issues
Impact assessment: Identification of size of customers and dollar amount impacted
Issue Management & Root cause analysis: Identifying issues and reasons by leveraging analytical methods
Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
Daily deliverable of routine and defined outputs
Appropriately assess risk when business decisions are made

Fulltime

Data Analytics & Reporting Specialist

The Data Analytics & Reporting Specialist is a key role within the Operational E...

Location

Hungary , Multiple locations

Salary:

Not provided

Trivium Packaging

Expiration Date

Until further notice

Requirements

Driven, caring and structured team player
Pronounced quantitative and problem-solving skills, with the ability to pull together, organize, analyse large quantities of data and derive concise insights
Demonstrated ability to identify, develop, implement, and manage data-driven and results-oriented programs that achieve the targeted goal
Strong coaching, training and facilitation skills
ability to manage group interactions, achieve accountability and meet deadlines
Experience leading cross-functional teams to achieve challenging goals
Strong storyboarding / presentation skills, with the ability quickly frame, build, and present executive-level presentations in a structured manner
Experience managing stakeholders at multiple levels
Strong relationship building and influencing skills with a large informal network within the organization
Knowledge of cross-functional process owners and global decision-makers

Job Responsibility

Designing and delivering regular, insightful reports that highlight significant trends, operational losses, and areas for improvement across the organization.
Synthesizing complex operational data into clear, actionable insights for executive leadership, ensuring that findings are presented in a concise and structured manner.
Coordinating with cross-functional teams to ensure accurate data collection and reporting, and leading projects that address critical operational challenges.
Guiding the OpEx transformation team in deploying solutions identified through analytics and reporting.
Collaborating with IT and business stakeholders to define requirements for new reporting capabilities and enhance existing dashboards.
Providing timely updates and presentations to executive teams, ensuring transparency and alignment on operational performance and improvement initiatives.

Data Product Specialist

Join our Global Digital & Loyalty team as a Data Product Specialist who lives an...

Location

Poland , Warszawa

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Responsive to evolving business needs
Analytical thinker who balances creativity with pragmatism
Excellent communicator in English, able to translate complex concepts for technical and non-technical stakeholders
Customer-obsessed problem solver who collaborates across geographies and levels
Curious lifelong learner with a passion for retail, loyalty programs and emerging analytics techniques
Higher degree in Engineering, Data Science, Statistics or a related analytical discipline
3+ years of experience in one or more of: data engineering, data analytics or data stewardship
Strong awareness of data governance frameworks and privacy regulations (e.g., GDPR)
Hands-on with analytical tools such as Power BI, Excel and cloud data warehouses
Familiarity with mobile analytics platforms (e.g., Google Analytics) and loyalty program data is a plus

Job Responsibility

Partner with the Group Product Manager to maintain the data product vision, roadmap and backlog with clear acceptance criteria and measurable outcomes
Translate business questions into metric definitions, data models and scalable self-service data products
Collaborate with Digital Analytics to ensure accurate tagging of key user events in mobile apps (e.g., GA4)
Coordinate with Data Engineering to integrate mobile apps and retail loyalty datasets for a unified end-to-end customer journey
Monitor data pipelines, investigate quality issues and implement automated validation, alerting and remediation processes
Operationalize data governance, privacy and security requirements
Maintain the data catalog and lineage documentation to support discovery
Define and enforce data contracts, SLAs and schema-change processes with source teams
Liaise with Product Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting
Conduct stakeholder interviews to confirm data readiness for key insights and dashboards

What we offer

Contract of employment
Annual bonus
Private medical care
Cafeteria Platform/Multisport
English lessons subsidized by the company
Group insurance
Attractive discounts for products and services at our stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Modern and convenient office

Fulltime

Senior People Analytics Specialist

You will play a key role in analyzing workforce trends, building HR dashboards, ...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Human Resources, Business, Data Analytics, or a related field (Master’s preferred)
5+ years of experience in HR analytics, people analytics, or a similar data-focused HR role
Strong proficiency in HRIS systems (e.g., Workday, SAP, Oracle) and advanced Excel/Google Sheets skills
Experience with visualization tools such as Power BI or Tableau
Excellent analytical and communication skills - you can turn data into a story
The ability to prioritize and adapt in a fast-paced, evolving environment

Job Responsibility

Collect, analyze, and interpret people data across workforce planning, performance, compensation, benefits, and engagement
Develop dashboards, reports, and data visualizations for leadership and HR partners
Monitor People KPIs and identify trends, risks, and improvement opportunities
Maintain and optimize HRIS and other HR technology platforms
Ensure data integrity, accuracy, and consistency across all systems
Identify opportunities to streamline HR processes and improve data flows
Ensure compliance with internal HR policies and labor regulations
Support audits by preparing accurate reports and documentation
Partner with HR leadership on workforce planning, organizational design, D&I initiatives, and talent analytics
Provide analytical support for compensation reviews, benefits benchmarking, and people strategy projects

What we offer

Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses
Meal vouchers of 200 BGN per month
Fully covered Multisport card

Fulltime

Head of Data Infrastructure & Analytics

As our remote Head of Data Infrastructure & Analytics, you will take the helm of...

Location

United States

Salary:

200000.00 USD / Year

Puffy

Expiration Date

Until further notice

Requirements

7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments
Expert-level knowledge: GA4, GTM, server-side tracking, data pipeline architecture, e-commerce tracking
Can diagnose and fix tracking setup errors across the entire stack
Strong technical skills: SQL expert, Python or R proficiency for data validation
Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event-driven architecture
Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks
Proven team leadership: Can manage 3+ person analytics team
Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)
Background in analytics engineering or data reliability engineering
Track record in high-growth e-commerce (sleep, wellness, DTC)

Job Responsibility

Data Quality Infrastructure (Your #1 Priority)
Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error
Build automated validation systems that catch bugs before humans see them
Implement pre-leadership QA processes with hard gates
Create monitoring and alerting
Technical Architecture & Reliability
Design and maintain server-side tracking implementation for attribution accuracy
Architect data pipelines that handle $2M+ monthly ad spend tracking without errors
Own end-to-end data flow: website events → collection → transformation → warehouse → reporting
Establish technical standards

What we offer

Continuous learning
10% monthly bonus
Premium insurance
Achievement recognition
Free snacks and lunches
Generous annual leave
AI tools and tech stack
18+ nationalities
Social events & activities
Learning and development support (we pay for courses you need to upskill)

Fulltime

Marketing Analytics Specialist

We are seeking a highly skilled Marketing Analytics Specialist with strong exper...

Location

India , Delhi

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

6–8 years of experience in marketing analytics, data science, or related field
Proven experience applying AI/ML techniques to marketing problems (e.g., clustering, classification, regression, recommendation engines)
Advanced proficiency in SQL and experience working with large datasets
Strong programming skills in Python or R for data analysis and modeling
Familiarity with marketing platforms and tools (e.g., Google Analytics, Adobe Analytics, CRM systems)
Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker)
Solid understanding of marketing funnels, attribution, and customer journey analytics
Experience with statistical testing, experimentation, and A/B testing

Job Responsibility

Analyze marketing performance across channels using advanced data techniques
Build dashboards and reports to monitor KPIs such as customer acquisition, conversion, engagement, and ROI
Develop and apply machine learning models for customer segmentation, churn prediction, recommendation systems, and lifetime value estimation
Design and evaluate A/B tests and experiments to support marketing optimization
Partner with cross-functional teams (Marketing, Product, Data Engineering, Data Science) to define metrics and improve campaign targeting and personalization
Translate complex analytical findings into clear business insights and recommendations
Ensure high standards of data quality, integrity, and governance across tools and systems

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...

Location

United States , Miami, FL / Boston

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

10+ years of experience in data analytics, business intelligence, or data product management
At least 3 years in a leadership or head-of-function role
Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
Experience leading cross-functional collaboration across product, engineering, and commercial teams
Exceptional analytical, strategic thinking, and communication skills
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market

Job Responsibility

Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales

Fulltime

Data and Analytics Specialist

CNH Industrial

Location:
India , Greater Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 05, 2026

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Location:India , Greater Noida

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 05, 2026

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