Data Analyst

• Perform comprehensive financial analysis to support service should cost models and CoO (Cost of Ownership) modeling for SBU/Marketing teams
• Compare should cost versus actuals, identify variances, and present findings to management
• Manage portfolio programs, including ROI calculations and ongoing performance tracking
• Automate recurring reports, such as spend management, using relevant data visualization and extraction tools
• Document use cases, workflows, and methodologies for data analysis to ensure transparency and reproducibility
• Collaborate with cross-functional teams to extract, map, and interpret company-specific data, including tools, tool counts, tool types, regions, and accounts
• Utilize Jira for project management and workflow tracking related to data initiatives

Product Data Analyst

• Build, improve, and manage recurring reports for Growth, Marketing, Product, Finance, and Operations teams
• Design and develop executive-level dashboards that support leadership decision-making
• Ensure accuracy, consistency, and reliability of all business metrics and data outputs
• Partner with engineering and operational teams to improve data collection, tracking, and pipeline reliability
• Evaluate campaign performance, customer acquisition trends, CAC, ROAS, MER, LTV, retention, and other growth metrics
• Conduct deep-dive analyses to identify growth opportunities and performance drivers
• Monitor and evaluate product performance across SKUs, channels, and markets
• Provide recommendations based on quantitative analysis and business impact

• Execute the business analytics agenda in conjunction with analytics team leaders
• Work with best-in-class external partners who leverage analytics tools and processes
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

Analytics Manager

• Design, develop, and maintain MIS reports and dashboards using SAS and/or Python to track key performance indicators and provide insights into business trends.
• Perform in-depth data analysis and create compelling visualizations to communicate findings to stakeholders.
• Apply deep knowledge of the mortgage industry, including MIS and regulatory requirements, to ensure the accuracy and relevance of our reporting and analysis.
• Support the delivery of regulatory reports and ensure compliance with all relevant regulations.
• Proactively identify trends, patterns, and anomalies in data to provide actionable insights and recommendations to the Risk or Marketing teams.
• Work as a high-performing individual contributor, taking ownership of projects and delivering high-quality work with minimal supervision.

Data Analyst, Reporting Analysis

• design, developing, and deploying data-driven solutions across the retail lending lifecycle
• work closely with cross-functional teams to uncover opportunities, build models, optimize processes, and enhance decision-making frameworks through modern data science and business intelligence capabilities

• Validate global project and account data from a business and sales-consumption perspective, not only from a technical completeness perspective.
• Review project records to determine whether the information is accurate, current, commercially relevant, and usable by sales teams.
• Identify and correct inaccurate, outdated, duplicated, incomplete, or misleading project data across fields such as owner, developer, end user, engineer, architect, general contractor, vertical, project status, construction timing, CAPEX, location, and opportunity relevance.
• Use internal sources, paid data services, public internet research, CRM data, and sales feedback to validate, enrich, replace, or supplement project information.
• Assess whether data fields are logically consistent. For example, whether a construction start date aligns with the project status, whether the listed contractor is current or historical, whether the owner is the true decision-maker, or whether the project is still actionable for Honeywell.
• Develop practical data-quality rules that reflect how sales teams actually consume and act on project leads.

Senior Advanced Data Analyst

• Prepare and present reports with clear insights and recommendations to internal teams and external stakeholders.
• Collaborate directly with clients to resolve fraud issues, ensure compliance, and support decision-making.
• Work effectively under pressure, managing multiple priorities while maintaining high accuracy and attention to detail.

• Ensures coding analysis production is consistent, high quality, and aligned with strict delivery timelines by tracking performance and enforcing standards.
• Provide oversight of junior coding teams, providing guidance on best practices and delivering constructive feedback to address performance gaps, fostering continuous improvement and skill development.
• Manages content searches and uploading processes, prioritize coding tasks and performs regular data checks while understanding project coding structures.
• Utilizes knowledge of data flow and our tools to troubleshoot issues and resolve them.
• Reports regularly to the manager, establish open communications to prioritize tasks and manage workflow.
• Utilizes established reporting templates and tools to contribute to assigned reports, generate charts, research and write robust qualitative insights.
• Take ownership of initial data exports and assist in charting and report production as needed.
• Provides daily support to Senior Analysts and Team Leads. This includes tasks such as contact management, data verification, and report production.

• Act as liaison between the technical and business teams.
• Should be able to connect with Client SME & understand Functionality, Data
• Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
• Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations

Business Data Analyst

• Support DM Leads and Data Quality Teams (DQT) in deriving and articulating both planned and ad-hoc clinical and operational data insights.
• Drive cross-functional collaboration to enhance data strategy, quality, site experience, and patient safety using disease area, protocol, and data standards expertise.
• Partner with Central Monitoring (CM) and Risk-based Quality Management (RbQM) leads to promote risk-based data review approaches.
• Act as a data review solution advisor, translating complex insights into clear, actionable recommendations for stakeholders.
• Contribute to exploratory data quality management plans in collaboration with DQT.
• Enable detection of data discrepancies and anomalies by supporting deployment of user-friendly analytical tools.
• Promote responsible AI adoption, develop proof-of-concepts (PoCs), and support product ionization of approved use cases.
• Identify opportunities to optimize analytics processes and improve solution performance.
• Stay current with emerging technologies, trends, and best practices in data analytics, automation, and AI.
• Develop and maintain technical documentation while fostering a culture of innovation and continuous learning.

Clinical Data Analytics Lead

• Lead analytics initiatives across Revenue Assurance, Billing, Fraud Management, and Leakage Detection
• Identify revenue leakages, billing gaps, and operational inefficiencies using data insights
• Partner with business stakeholders to define KPIs and performance dashboards
• Drive process optimization and automation opportunities across telecom operations
• Ensure alignment with telecom regulatory, billing, and audit requirements
• Provide domain consulting support for BSS/OSS, mediation, interconnect and billing systems
• Design and deliver interactive Power BI dashboards for executive and operational reporting
• Develop complex SQL queries and data models for telecom datasets
• Drive end-to-end automation use cases using Python
• Build scalable automation frameworks for Revenue leakage detection, Fraud analytics, Data quality monitoring
• Work with senior leadership to translate business needs into analytics solutions

Risk Analytics Manager – Telecom, Data Analytics

• Create compelling dashboards and reports that transform complex data into actionable insights for business stakeholders.
• Design and maintain interactive Tableau dashboards that provide real-time business insights.
• Extract and analyze data from multiple sources to identify trends and patterns using SQL.
• Collaborate with business stakeholders to understand their analytical needs.

Data Analyst I

• Lead the design and implementation of enterprise data warehouse
• Modernize analytics landscape using SAP Datasphere
• Develop complex stories, dashboards, applications in SAP Analytics Cloud
• Integrate Datasphere with various data sources
• Manage data synchronization and access control

Senior SAP Data Analytics Consultant – Datasphere, SAC, CDS

• Analyze large-scale transaction datasets using SQL to identify fraud, AML, and compliance risk patterns.
• Translate analytical findings into clear business actions (rule tuning, thresholds, workflows, policy inputs).
• Work with Compliance, Risk, and Product teams to convert regulatory requirements into data logic and system rules.
• Evaluate effectiveness of risk controls using data (alert rates, false positives, precision/recall, conversion impact).
• Design, build, and maintain dashboards and reporting that drive decision-making.
• Perform deep-dive analyses and investigations to support financial crime initiatives.
• Identify gaps and inefficiencies in current processes and recommend data-driven improvements.
• Partner with engineering to implement scalable and auditable decisioning systems.

Data Analyst – Risk & Compliance

• Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business
• You will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories
• Work closely with our customers as part of a top-notch team
• Dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes
• Draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes
• Be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions
• Collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data

Senior Associate, Data Analysis

• Build reliable and scalable engineering solution that empowers various use cases such as data enrichment, classifications and deep analytics.
• Build a solution in the cloud - handles both streaming and batch data processing, capable of solving big data initiatives by applying state-of-the-art AI technology.
• Build scalable software across our data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.
• Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
• Work closely with data scientists, data analysts and business stakeholders to make data easily accessible and understandable to them.
• Develop and enforce data engineering, security, data quality standards through automation and applied AI.
• Participate in supporting platform 24X7.
• Be responsible for cloud cost and improving efficiency.

Data Engineer II – Data Analytics Team

• Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design
• Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents
• Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization
• Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction
• Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities
• Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results
• Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk
• Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues
• Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance

Senior Data Analyst

• Validate the fully automated and semi-automated reports
• Manually generate reports which are yet to be automated
• Learn Python on the job and apply it
• Automate manual reports through Python

Data Analyst Intern

• Validate the fully automated and semi-automated reports.
• Manually generate reports which are yet to be automated.
• Learn Python on the job and apply it.
• Automate manual reports through Python.

Intern, Data Analyst

• Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities.
• Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions.
• Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation.
• Partner with analytics engineering and data engineering teams to validate and consume curated datasets.
• Assist in designing, testing, and validating data models used in reporting and analytics workflows.
• Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements.
• Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis.
• Document business logic, metric definitions, data sources, reporting methodologies, and assumptions.
• Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting.
• Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership.
• Identify opportunities to automate manual reporting processes and improve analytics scalability.
• Support automation initiatives that reduce repetitive work and improve reporting consistency.
• Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency.
• Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards.
• Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices.

See all jobs on JobTailor

Product Data Analyst

Data Analyst

Analytics Manager

Data Analyst, Reporting Analysis

Data Analyst

Senior Advanced Data Analyst

Data Analyst

Data Analyst

Business Data Analyst

Clinical Data Analytics Lead

Risk Analytics Manager – Telecom, Data Analytics

Data Analyst I

Senior SAP Data Analytics Consultant – Datasphere, SAC, CDS

Data Analyst – Risk & Compliance

Senior Associate, Data Analysis

Data Engineer II – Data Analytics Team

Senior Data Analyst

Data Analyst Intern

Intern, Data Analyst

Data Analyst, AI & Data Platform