Alteryx Engineer Job at NTT DATA (Remote)

Senior Analyst – Analytics & Insights

This is where your work makes a difference. At Baxter, we believe every person—r...

Location

United States , Deerfield

Salary:

80000.00 - 110000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Analytics, Business Analytics, Engineering, or a related field strongly preferred
0–3+ years of experience in commercial analytics, sales reporting, business intelligence, or related analytical work (open to strong new graduates with relevant internships or project experience)
Experience working with Salesforce data—opportunities, accounts, pipeline metrics—is preferred
Proficiency in SQL and Alteryx or Python for data transformation, validation, and analysis
Experience building dashboards and reports using Power BI, Tableau, or similar BI tools
Strong attention to detail with the ability to manage, validate, and troubleshoot complex datasets
Ability to translate business questions into analytical outputs and communicate insights clearly to non‑technical stakeholders
Experience collaborating with cross‑functional teams such as Sales, Finance, and Commercial Operations preferred
Applicants must be authorized to work for any employer in the U.S.

Job Responsibility

Developing and maintaining recurring sales and commercial performance reporting across accounts, products, and regions
Supporting pipeline and forecasting analytics by extracting, validating, and analyzing opportunity data from Salesforce
Building dashboards and reports that track bookings, pipeline health, win rates, and sales execution metrics
Performing contract analytics, including pricing validation, volume commitments, and commercial performance tracking
Reconciling reported sales, contracted pricing, and revenue assumptions in partnership with Sales Operations and Finance
Using SQL and Alteryx to extract, transform, and validate data from Salesforce, ERP systems, and other commercial data sources
Conducting data quality checks, investigating root‑cause issues, and collaborating with upstream data owners to ensure accuracy
Translating business questions into clear analytical outputs and presenting insights to commercial stakeholders

What we offer

Medical and dental coverage that start on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount
401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave
Commuting benefits
Employee Discount Program
Employee Assistance Program (EAP)

Fulltime

Manager – HR Analytics

The Manager – People Analytics will lead the design, development, and delivery o...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, HR, Economics, or related field
10–13 years of experience in analytics, with at least 5-6 years in People/HR Analytics
Experience managing end-to-end projects preferred
Experienced in EEOC, BLS, CSRD, GDPR, and similar reporting
Strong proficiency in SQL, Excel, Alteryx, Power Queries and data visualization tools (Power BI/Tableau)
Experience with Python/R is a plus
Exposure to Databricks is a plus
Exposure to Discovery Board and Prism is a Plus
Exposure to Visier is a Plus
Familiarity with HR systems (Workday, Sum total, Field Glass, Eighfold etc.)

Job Responsibility

Develop and execute the People Analytics roadmap aligned with HR and business priorities
Lead and mentor a team of analysts/data specialists (if applicable)
Partner with HR leadership to identify high-impact analytics opportunities
Analyze workforce data (e.g., attrition, engagement, hiring, performance, DEI metrics)
Build predictive and diagnostic models to identify trends and risks
Translate complex data into actionable insights and recommendations
Design and maintain dashboards and reports using tools like Power BI, Tableau, or similar
Ensure data accuracy, consistency, and governance across HR systems
Automate recurring reporting processes
Building automated compliance dashboards

Cybersecurity Analyst

Job description Key responsibilities include: Partner with Cybersecurity leade...

Location

United States , Springfield

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience)
8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands‑on experience in data engineering, analytics, or data architecture
Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns
Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies
Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk)
Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases
Experience collaborating closely with data engineering, platform, and architecture teams to ensure long‑term operability and support

Job Responsibility

Partner with Cybersecurity leaders, risk stakeholders, and non‑Cyber teams to define and deliver data‑driven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.g., NIST CSF)
Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights
Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust
Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and front‑line Cyber teams
Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability
Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support
Leverage AI‑assisted development and analytics workflows (e.g., Claude, code‑generation tools, AI‑augmented analysis) to accelerate engineering, insight generation, and experimentation—while operating within established security and data governance controls
Translate complex technical findings into clear, consumable narratives for executive and non‑technical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes
Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and future‑state analytics capabilities

Associate - Matching, Shaping, Allocation

Location

United States , New York

Salary:

113000.00 - 145000.00 USD / Year

The New York Times

Expiration Date

Until further notice

Requirements

Master’s degree (U.S. or foreign equivalent) in Finance, Accounting, or related field and one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Finance, Accounting, or related field and three (3) years of experience in the job offered or in a related role
Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor’s degree) with: working with the overall trade booking lifecycle including Pre-Trade, Trade Execution, Trade Clearing, Trade Settlement, and the final stage of Position and Risk Management
risk frameworks including trade and risk reconciliation
Advanced Microsoft Excel including working with macros, pivot tables, VLOOKUP, and IF/AND formulas
business analytics tools including Tableau or Alteryx
and re-engineering manual processes with creative brainstorming solutions coupled with an eye for automation

Job Responsibility

Actively manage risk in real time, to protect the Firm and the Firm’s clients
Timely allocate a high number of trades and associated journals and resolve any resulting economic breaks or fails associated with it

Fulltime

Data Analyst Technical Lead (Alteryx)

Design, develop, and maintain workflows using Alteryx Designer and Alteryx Serve...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Strong hands-on experience in Alteryx Designer
Experience with Alteryx Server / Gallery
Workflow optimization and automation expertise
Strong ETL and Data Integration knowledge
Data preparation and transformation expertise
Alteryx certifications preferred
BTECH/MCA

Job Responsibility

Design, develop, and maintain workflows using Alteryx Designer and Alteryx Server
Build automated ETL/data transformation pipelines for enterprise reporting and analytics
Integrate data from multiple sources including databases, cloud platforms, APIs, Excel, ERP, and CRM systems
Optimize existing Alteryx workflows for performance, scalability, and maintainability
Collaborate with business users, data analysts, and BI teams to gather requirements and deliver analytics solutions
Develop reusable workflow components, macros, and data quality frameworks
Perform data cleansing, validation, reconciliation, and transformation activities
Support reporting and visualization platforms such as Oracle BI, Power BI at times
Troubleshoot production issues and provide timely resolutions
Mentor junior developers and support team capability building

Fulltime

Director, Analytics and Business Insights APEMEA

Location

Belgium , Waterloo

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience in Business Intelligence and stakeholder management in matrix organizations
Payments industry, business roles and hybrid BI/business roles experience is a plus
Ownership‑driven, results‑oriented, comfortable doing both strategic/design level and hands‑on tasks
Great collaborator and a team player
Open-minded: comfortable to challenge and be challenged, out-of-box thinker
Agile, proactive thinker, comfortable pivoting and delivering in dynamic environments
Comfortable and excited about complex concepts and tasks
Able to connect high‑level concepts with detailed data
Strong analytical, problem‑solving, and communication skills
Independent, resilient, responsible and reliable, able to manage multiple priorities

Job Responsibility

Identify and formulate analytics needs and opportunities for business improvement via ABI
Design, develop and deploy new ABI capabilities working directly with business stakeholders
Manage stakeholder relationships
Develop and promote best practice operational procedures
Serve as a subject matter expert on ABI matters and their role in company’s strategy
Perform data research and analysis at both operational and strategic levels as well as insight generation
Prepare of business insight snippets and presentations
Perform change management around ABI capabilities
Lead and participate in cross-functional and cross-regional projects
Manage European analytics and business insights community and pipeline

Fulltime

Data Scientist

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life...

Location

United States , Greensboro

Salary:

Not provided

Wise Equation Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, electronic engineering or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Responsibility

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life insurance data and support data modeling for policy records, claims, actuarial datasets
Write and optimize ETL and reconciliation workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
Build and implement event-driven data solutions on AWS, leveraging SQS, SNS, and API integrations to enable real-time processing of insurance transactions and policy events
Implement snowflake data masking and row level security policies to ensure sensitive policyholder and beneficiary data are protected
Create Splunk data pipelines and PowerBI dashboards to ingest, index and analyze structured and unstructured life insurance data including policy transactions, claims events enabling real-time operational monitoring
Build flow zones and manifest file generator in Dataiku to develop data processing logic that meets life insurance business and regulatory requirements
Write and optimize ETL workflows using data-oriented programming languages such as PySpark and Python to extract and transform raw policyholder data and support machine learning model development by preparing high-quality, analytics-ready datasets for reporting and decision-making
Write SQL queries and stored procedures in Amazon redshift to support life insurance reporting, premium reconciliation, and claim analytics and implement optimized data modeling techniques for analytical workloads
Develop end-to-end data workflows in Dataiku, integrating multiple sources to extract and analyze life insurance data such as policy administration systems, claims databases and actuarial feeds for business insights
Write and optimize Delta Lake table implementations in Databricks to support efficient storage, ACID transactions, and time travel queries on life insurance datasets

Fulltime

VP Data Engineer

Join us as a "VP Data Engineer” at Barclays, where you'll spearhead the evolutio...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Building and maintaining data pipelines and curated datasets for reporting and insight generation
ETL tooling such as Alteryx or equivalent platforms
Hands-on delivery of visualisation tools and reporting solutions, including Tableau or equivalent tooling
Requirements documentation and clear communication, with the ability to work independently with stakeholders

Job Responsibility

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

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Alteryx Engineer

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