Senior Data Insights Specialist Job at Hewlett Packard Enterprise (Bangalore)

Senior Specialist Data Science and Predictive Care

The Senior Specialist Data Science & Predictive Care leads data-driven transform...

Location

Congo, the Democratic Republic of the , Kinshasa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or related field
4-6 years of experience in Data Analytics, Data Science, Predictive Analytics, Business Intelligence, or Customer Operations Analytics
Experience in telecom industry is highly desirable
Experience working with large datasets and operational analytics
Exposure to AI, Machine Learning, Predictive Care, or Generative AI initiatives is an advantage
Experience working with cross-functional business and technology teams essential

Job Responsibility

Create predictive models to forecast customer actions, churn, repeat calls, fraud, and service issues
Build machine learning frameworks for proactive customer care
Design segmentation models for personalized engagement
Develop anomaly detection for monitoring and fraud management
Use statistical and AI methods to pinpoint root causes of customer pain and inefficiency
Support Generative AI and LLM applications in customer operations
Develop scoring and recommendation engines to boost engagement and decisions
Drive proactive customer care initiatives through real-time analytics and predictive intelligence
Identify customer issues before escalation and recommend preventive actions
Enable intelligent customer treatment strategies based on behavioral and operational insights

Senior Data Specialist

We are seeking an analytical and detail‑driven individual with strong SQL expert...

Location

Albania , Tirane

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

3+ years of experience in data analysis
Background in sales related processes, ideally involving dealer or employee commissions
Fluent in English
German language skills are considered an advantage
Analytical, motivated, detail oriented and comfortable multitasking
Communicates proactively and works effectively within a team
Demonstrates accountability, reliability, and a commitment to delivering high quality work

Job Responsibility

Analyse data to generate insights and reduce system, calculation, and product-related issues
Develop and maintain complex SQL queries that support monthly commission calculations
Create and manage controls that ensure accuracy and consistency of commission-related outputs
Produce clear and informative commission reports to guide stakeholders across the process lifecycle
Support ongoing process improvements and contribute to quality assurance activities

What we offer

Opportunities to work with international teams and cross-functional experts
Continuous learning through exposure to emerging technologies and large-scale datasets
A supportive environment focused on collaboration, growth, and innovation

Data Senior Specialist

This role exists to build a better business and a better world. If you are passi...

Location

Poland , Silesia

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

6+ years’ experience in supply chain with strong knowledge of supply chain processes
English (B2+ level required)
Advanced analytical skills
Expertise in Excel, Power BI, and VBA
Financial and analytical modeling using Excel, Power BI, and SQL
Ability to influence and partner across organizational boundaries (stakeholder management)

Job Responsibility

Develop and consult on official operational reports (e.g., Waste Tracker, Accrual reports in BI)
Mentor specialists and provide on-the-job training to trainees
Lead analytics and insights for logistics projects, delivering actionable data and business insights
Ensure end-to-end (E2E) reporting by understanding cross-functional impacts
Own the design and business requirements documents (BRDs) for Data Lake
Drive improvements and innovations in reporting, optimizing data models based on feedback
Automate processes and eliminate repetitive tasks for the logistics team
Act as a business partner to UltraLogistik and the Performance team
Deliver ad-hoc reports (e.g., cost-to-serve, savings analysis for secondary transport)
Maintain comprehensive knowledge of stream processes (e.g., customs)

What we offer

Hybrid work and flexibility
Opportunities for the development and improvement of qualifications
Sharing the cost of professional training & courses
Benefits: life insurance, private medical care, pension fund, sharing the cost of sports activities, Benefits System – Cafeteria and many others
Extra days off to take care of yourself and others
Unilever store - Our products at attractive prices

Fulltime

Senior Data Conversion Specialist

We are currently seeking a Senior Data Conversion Specialist to join our team in...

Location

Canada , Ottawa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Must have 10+ years of experience working in a similar Information Management, Data Governance, or Data Lifecycle Management role
Must have 3+ years of recent experience working with Microsoft Purview and other M365 tools (e.g., Power Automate, PowerPoint, SharePoint, Teams) in a governance or compliance context
Must hold a valid Reliability Security Clearance with the Government of Canada
Must have a Canadian university degree or college/CEGEP diploma related to computer science, business administration, information technology, or engineering or the equivalent as established by a recognized Canadian academic credentials assessment service

Job Responsibility

Assess Microsoft Purview's Data Management Lifecycle to determine whether and how the 1000 available retention labels can be repurposed once configured
Develop a comprehensive retention label allocation strategy, considering clients function-based classification plan, with retention schedules, being incomplete and anticipated future program creation requiring new labels
Recommend approaches to streamline retention labels and disposition processes, including strategies to consolidate and reduce usage to within the 1,000-label limit
Provide contingency recommendations using other M365 tools (e.g., Power Automate), should the 1,000-label hard limit prove insufficient
Design methods to manage and operationalize complex retention triggers, leveraging workflows and/or metadata, to ensure compliance and efficiency
Prepare implementation documentation (e.g., a how-to guide) suitable for sharing with classified teams to support their adoption of Purview
Compile all findings and recommendations into a comprehensive written report, accompanied by a PowerPoint presentation summarizing key insights for senior management
Oversee all facilities of the conversion process
Complete mapping, interfaces, mock conversion work, enhancements, actual conversion, and verify completeness and accuracy of converted data
Establish a strong working relationship with all clients, interact effectively with all levels of client personnel, and provide conversion support

Fulltime

Enterprise Data Science Senior Specialist

Act as a senior individual contributor responsible for implementing enterprise c...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent hands‑on experience with machine learning and deep learning algorithms
Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI)
Minimum 4–6 years of experience in data science, AI, and analytics roles
Proven experience in building and deploying AI/ML models in production environments
Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively
Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying
Experience with big data analytics frameworks, including PySpark and Spark clusters
Strong skills in data mining, feature engineering, and time‑series forecasting
Good working knowledge of Linux operating systems
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Job Responsibility

Translate customer and product requirements into clear data science and AI implementation tasks
Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases
Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms
Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions
Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams
Apply best practices in feature engineering, model selection, evaluation, and optimization
Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking
Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality
Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes
Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders

Senior Delivery Management Specialist / Data Analytics

The Senior Data Analytics Specialist optimizes delivery operations through data-...

Location

Japan , Tokyo

Salary:

11000000.00 - 24000000.00 JPY / Year

Randstad

Expiration Date

January 15, 2027

Requirements

5–9 years of professional experience in data analytics, operational analysis, or business intelligence
Practical expertise in data extraction and processing using SQL
Proficiency in building dashboards and data visualization using tools like Tableau or Power BI
Strong analytical ability to derive actionable insights from data to solve business problems
Business-level English proficiency is mandatory (Japanese or Korean skills are a plus)

Job Responsibility

Conduct data analysis on delivery operations, monitor KPIs, and propose strategic improvements
Perform data extraction and processing using SQL and visualize insights through BI tools (Tableau, etc.)
Support the design of data-based incentive programs and performance enhancement initiatives
Identify operational challenges, conduct root cause analysis, and formulate effective countermeasures
Collaborate cross-functionally with executive management, sales teams, and global headquarters logistics units
Maintain and improve data quality while standardizing reporting processes

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Senior Customer Analytics & Insights Specialist

The Senior Customer Analytics & Insights Specialist is a high-impact, hands-on a...

Location

Ireland , Dublin

Salary:

Not provided

Smartbox Group

Expiration Date

Until further notice

Requirements

6+ years in customer analytics, insights, pricing, or related roles, ideally in e-commerce or consumer products
Proven experience influencing cross-functional teams and senior leadership with analytics insights
Advanced SQL (mandatory) for extracting, combining, and analyzing complex datasets
Experience with data visualization tools (Power BI, Tableau, or equivalent)
Python or R for advanced modelling is a strong advantage
Expertise in modeling: LTV, churn, RFM, propensity, and attribution
Strong commercial acumen and ability to link analytics to business outcomes
Excellent storytelling and communication skills — able to present complex insights simply
Proactive, curious, and solutions-oriented mindset
Comfortable operating in a fast-paced, dynamic environment

Job Responsibility

Develop models to understand customer behaviour, pricing sensitivity, churn, lifetime value, and product economics
Provide actionable insights to improve conversion, retention, and overall customer experience
Collaborate with Product to test new features and refine the beneficiary journey
Segment the customer base to inform targeted marketing, CRM strategies, and lifecycle campaigns
Design and analyze A/B tests to optimize promotions, pricing, and engagement strategies
Translate complex analytics into clear, actionable insights for stakeholders
Partner with Marketing, Product, Operations, and Technology to align on pricing, product, and customer strategies
Influence business decisions with evidence-based recommendations
Monitor trends, competitor behaviour, and market shifts to inform strategy and models

What we offer

Transparency: clear, fair salary bands and career levels
Hybrid work: 2–3 remote days + 20 days abroad per year
Growth Mindset: 4 Growth Days, Growth Leave + training budget
Flexible benefits: personalize with health, wellbeing & learning options
D&I commitment: parental leave, D&I Day, gender equity in rewards
Unbox Your World: Smartbox experience days + paid sabbatical after 5 years
Essentials: health cover, pension, extra leave

Fulltime

Senior Data Analytics & Reporting Specialist

The Division of Integrated District Supports is seeking an experienced Data Anal...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Analytics and Data Storytelling
8+ years of experience working with Low-Code platforms
5+ years of advanced proficiency in Microsoft Office Suite (Excel – advanced formulas, pivot tables, scorecards)
3+ years of experience in Data Visualization tools (Power BI required)
Strong ability to communicate complex data insights to non-technical stakeholders
Experience analyzing large datasets and creating actionable recommendations

Job Responsibility

Analyze school system data and translate findings into clear, practical recommendations that help schools identify priorities, set measurable goals, and drive student achievement
Design, build, and maintain low-code platforms (e.g., Microsoft Power Platform, Qualtrics) to display school system data and capture progress updates and impact metrics
Develop intuitive dashboards, reports, and visualization tools (Power BI) that consolidate data into a single, easy-to-understand interface
Build automated data collection systems (forms, surveys, applications) that organize and streamline data, enabling school systems and agency staff to quickly interpret results without technical expertise
Conduct cross-analysis of statutory data across multiple federal and state plans to identify overlaps, redundancies, and compliance gaps
Use data-driven insights to recommend strategies that unify reporting requirements and reduce duplication across plans
Create and maintain scoring tools, Excel-based scorecards, and progress trackers to evaluate school system applications, monitor performance, and measure long-term impact

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Senior Data Insights Specialist

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