ANALYTICAL ENGINEER JOB DESCRIPTION

Turning raw behavioral and transactional data into a reliable signal is harder than it looks. When tracking specifications are incomplete or segmentation logic drifts, the subscription and revenue figures that marketing, finance, and product teams stake decisions on become untrustworthy. The Analytical Engineer owns the measurement infrastructure that prevents that breakdown, translating business questions into structured data collection frameworks across web, mobile, and off-platform channels. This role sits within analytics or data organizations and answers to stakeholders ranging from circulation planning teams to senior revenue leadership.

As the Analytical Engineer, you convert complex business reporting needs into governed, auditable data pipelines that surface subscriber behavior, campaign performance, and revenue trends with repeatable accuracy. You operate across analytics, marketing, and product functions, serving as the primary owner of data quality standards and implementation governance for the digital measurement environment.

Career Impact: Owning end-to-end measurement governance for subscription and revenue reporting builds the kind of domain authority that distinguishes senior analytics practitioners in competitive digital media and data services markets.

Business Impact: The segmentation models and quality-controlled reporting this role produces are the direct inputs to acquisition and retention campaigns, meaning flawed data translates immediately into misdirected spend and missed subscriber targets.

Growth Opportunity: Mastery of cross-channel tracking implementation and SQL-driven data quality processes opens a clear path toward senior analytics engineering, data product management, or analytics architecture roles at scale.

• Design and document data collection specifications for digital products spanning web, mobile, and connected device platforms to ensure consistent measurement coverage.
• Validate the accuracy of collected data against circulation and revenue benchmarks through structured quality control processes.
• Build and maintain persistent audience segmentation across marketing channels to support subscriber behavior analysis.
• Develop automated solutions for recurring data mining and reporting workflows to improve throughput within the analytics function.
• Partner with product and development teams to deploy and optimize tracking implementations across new and existing digital properties.
• Monitor analytics pipelines and databases to identify data issues, confirm source integrity, and maintain documentation standards.
• Produce daily, weekly, and monthly performance reports for circulation planning, membership, and revenue stakeholders.
• Coordinate with analytics vendors and internal data stewards to maximize the value and reliability of data collection systems.

• Bachelor's degree in Computer Science, Statistics, Data Management, or equivalent work experience.
• 3 or more years of data analytics or digital measurement experience, with demonstrated ownership of reporting pipelines or tracking implementations.
• Proven ability to write and maintain complex queries for data extraction, transformation, and quality validation across relational database platforms.
• Experience designing and documenting analytics tracking specifications for web or mobile digital products.
• Strong grasp of data quality principles including issue identification, source reconciliation, and cleansing methodology.
• Ability to communicate analytical findings and data architecture decisions clearly to non-technical business stakeholders.
• Familiarity with tag management systems and the end-to-end process of deploying and testing digital data collection solutions.

• Experience supporting subscription marketing analytics including subscriber segmentation, churn indicators, and retention campaign measurement.
• Background in technical project implementation covering requirements definition, QA processes, and vendor coordination.
• Exposure to off-platform or connected device tracking environments beyond standard web and mobile channels.
• Knowledge of data governance frameworks and experience acting in a formal data stewardship capacity.

• Data accuracy rate against circulation and revenue benchmarks, measured per reporting cycle.
• Segmentation coverage ratio, tracking the share of active subscribers included in persistent audience models.
• Report delivery timeliness, measured as on-time completion rate for daily, weekly, and monthly outputs.
• Defect rate in tracking implementations, reflecting the share of deployments passing QA without rework.
• Automation coverage of recurring data mining requests, measured as the percentage handled without manual intervention.
• Typical tools: Query and database platforms (commonly SQL Server, BigQuery, or Athena); analytics and tag management platforms (commonly Adobe Analytics, Tealium, or Google Analytics)

• Base Salary Range: $80,000 to $115,000 annually, depending on experience and location.
• Bonus: 5% to 10% annual performance-based bonus, typical for analytics individual contributor roles.
• Equity: not commonly offered at this level outside of technology-native employers.
• Health Benefits: medical, dental, and vision coverage, with employer contribution standard.
• PTO: 15 to 20 days annually, plus federal holidays.
• Common Perks: Remote or hybrid flexibility, professional development budget, and access to analytics certification programs.

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Work authorization in the United States is required for all positions using this template. Employment is contingent on successful completion of a background check, which may include verification of education, prior employment, and criminal history. Reasonable accommodations will be provided to qualified individuals with disabilities throughout the application and employment process. All applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, and local law.

The Analytical Engineer owns the full CAE workflow for Techtronic Industries' Outdoor Products business unit, delivering FEA, CFD, and NVH analyses that guide new and mature product development. Working closely with project and test engineers, this role shapes design decisions through model validation, constitutive modeling, and mechanism dynamics programs that directly improve product quality and effectiveness.

Key Responsibilities

• Provide expertise in at least one core area of CAE including FEA, CFD, and/or NVH.
• Guide product development using FEA including structural statics, structural dynamics, modal, random vibration, harmonic, transient, non-linear explicit, and thermal analyses.
• Develop constitutive models with non-linear properties including plasticity, viscoelasticity, and hyperelasticity for metals, composites, and polymers.
• Conduct steady-state and transient CFD analysis to simulate flow fields and predict heat transfer in two and three dimensions.
• Ensure model validation and calibration, mesh convergence and independence, and understand tradeoffs between modeling and physical testing.
• Perform geometry cleanup and simplification of complex production CAD assemblies for FEA and CFD meshing and analysis.
• Develop programs to predict mechanism dynamics using MATLAB, Python, or other scientific computing languages.
• Work with project and test engineers to design and perform appropriate analytical studies for validation of FEA and CFD models.
• Measure various properties and performance metrics to support new and mature product development.
• Provide support for root cause failure analysis, value engineering, and product design enhancement.
• Maintain current knowledge of developments in the field and recommend innovations to improve quality and effectiveness of company products.

Required Qualifications

• Bachelor's degree in Mechanical or Aerospace Engineering or related field, Master's degree preferred.
• 5+ years of experience for Analytical Engineer 3 or 7+ years for Senior Analytical Engineer 1 using commercial FEA and/or CFD software.
• Experience with linear and non-linear structural analysis, bolted joint analysis, thermal analysis, dynamic response analysis, impact and crash analysis, and structural topology optimization.
• Experience modeling airflow in complex environments to improve flow patterns, noise reduction, and heat transfer.
• Experience modeling failure in fiber reinforced polymer composites and coupling FEA with Moldflow results.
• Experience with fluid-structure interaction and multi-physics analysis using commercial software.
• Strong math and physics skills with ability to generate hand calculations to support design decisions.
• Proficient in ANSYS Mechanical, Fluent, CFX, and LS-Dyna, with familiarity in KISSsoft, BK Connect or equivalent NVH software, and high performance computing and Linux as a plus.
• Strong mechanical or electromechanical aptitude, hands-on mentality, and willingness to mentor junior analytical engineers.

Embedded within Dow Jones' digital analytics organization, the Analytical Engineer designs and documents analytics tracking specifications across web, mobile apps, and connected device platforms to ensure accurate data collection. Working closely with internal and external development teams, analytics stakeholders, and business partners, this role advances data quality and measurement integrity across the full portfolio of Dow Jones digital products.

Core Functions

• Following Dow Jones standards, design and document analytics tracking specifications for digital products and platforms including web, mobile apps, off-platform.
• Partner with internal and external development teams to test and deploy new tracking solutions while monitoring and optimizing existing integrations.
• Act as a Data Steward for usage data.
• Track, prioritize, and manage analytics implementation initiatives across multiple teams and serve as the primary point of contact for analytics implementation requests.
• Manage tag management systems and data collection tools.
• Interact with data collection and analytics vendors to maximize value from systems and services.
• Run end-to-end testing, QA, QC, and debugging of analytics code using various tools.
• Confirm the quality of data collected in analytics tools and databases using SQL.
• Keep documentation up to date for the Data by Design program.

Qualifications and Experience

• College or technical degree in computing, business data management, or analytics, with advanced degrees welcome.
• Minimum 5 years of experience in a technology role in a data-intensive environment.
• Minimum 3 years of experience with digital product tracking, data collection processes, and platforms.
• 3-5 years of experience working with data with a focus on data quality, identifying data issues, sources, and cleansing processes.
• 3 years of experience with technical project implementation including requirements, development, quality assurance, and launch phases.
• Proficient in Adobe Analytics, Tealium, or Google Analytics, with experience in BigQuery and Athena.
• Web development knowledge including hands-on experience with HTML, CSS, JavaScript, and Web Services.
• Strong analytical thought process with ability to communicate effectively with business teams on marketing and operations management.

Reporting to the engineering team at Regal Rexnord, the Analytical Engineer I researches and evaluates emerging technologies for commercialization potential while providing technical support across component and bearing product lines. Partnering with Operations, Marketing, Sales, and remote engineering resources, this role expands existing product lines and proposes new designs that advance the company's manufacturing objectives.

Primary Duties

• Research, develop, and determine if a technology can be applied to Regal Rexnord products for commercialization.
• Help lead identified enabling technology projects from concept to MVP.
• Provide technical support for New Product Development projects.
• Perform analysis on tested bearings, components, and other PTS products as required.
• Assist in the development of test machines and procedures for nonstandard testing.
• Analyze routine components and products using existing analytical tools and methods to improve existing designs, expand product lines, and propose new designs.
• Solve routine problems by applying problem-solving processes to simple design challenges.
• Follow Regal Ethics, Safety, and Environmental Compliance programs and adhere to all export, import, and supply chain security policy requirements.

Skills and Qualifications

• Bachelor's degree in Mechanical Engineering, with training in mechanical power transmission preferred.
• 0 to 5 years of engineering experience in a manufacturing environment.
• Familiar with Design of Experiments and Hypothesis Analysis.
• Knowledge of product design or project procedures.
• Proficient in Microsoft Office, Solid Edge or equivalent CAD software, and drafting.
• Excellent verbal and written communication and presentation skills with the ability to adjust to varying priorities.

Sitting at the intersection of data engineering and business intelligence, the Analytical Engineer builds and maintains robust data processes that import, control, and deliver strategic analytics across Santander's Retail and Business Banking directorates. Operating across the Chief Data Office, SanTech, and multiple business stakeholders, this role shapes Big Data strategy and drives data-driven improvements to customer journeys and commercial performance.

Accountabilities

• Build and support robust and efficient data processes by importing data from numerous internal and external sources and ensuring relevant controls are in place.
• Support the implementation of the Data Strategy for Everyday Banking Analytics both tactically and strategically, working closely with SanTech and the wider Chief Data Office.
• Generate ideas, build models, and make recommendations to assist senior management in achieving Group objectives.
• Support analytics and reporting across Retail and Business Banking including Branch, RCC, Digital, Wealth, Mortgage Telephony, and Santander Business.
• Develop data-driven improvements to customer journeys, colleague experience, and commercial performance as part of an innovation culture.
• Support wider Chief Data Office initiatives including shaping Big Data strategy, operating model, commercial application, and Business Intelligence tool strategy.

Experience and Qualifications

• Detailed understanding of querying and manipulating data using SQL Server Integration Services.
• Excellent analytical and numerical skills with proven experience in an analytical or data function.
• Experience of process automation by building scheduled data processes using SSIS, SAS, SQL Server, or other relational database management systems.
• Knowledge of SAS in a business environment.
• Experience building and maintaining Python data projects using Pandas, PySpark, NumPy, and SQLAlchemy advantageous.

A key member of Equifax Workforce Solutions' Data and Analytics organization, the Analytical Engineer delivers innovative analytical solutions that enrich sales enablement, market penetration, and product strategy using a state-of-the-art analytics cloud environment. Collaborating across business, product, and sales teams, this role builds and deploys quality data projects that generate actionable insights with measurable revenue impact.

Scope of Work

• Develop innovative analytical solutions that drive actionable insights to enrich revenue-driving functions such as sales enablement, market penetration, product strategy, and M&A data analysis.
• Take a consultative approach to data projects and artfully articulate analysis to non-technical audiences.
• Take ownership of delivering quality projects to the business by applying rigor to business requirements, design, and aftercare of deployed solutions.
• Utilize Equifax's diverse data sources to craft solutions using various techniques through the most appropriate open source and/or proprietary tooling.
• Quickly come up to speed on key business drivers and deliver meaningful analyses with clear business impact.

Background and Experience

• Bachelor's degree in Computer Science, Statistics, Software Engineering, or related field.
• 3+ years of experience identifying, gathering, transforming, and analyzing data within and across database platforms.
• 3+ years of experience building, loading, and transforming data within and across database platforms and other data stores.
• Strong development skills in Tableau, Data Studio, Python, SQL, or other business intelligence tools.
• Strong analytical skills including the ability to rapidly learn new data assets and apply them to business impacts.

Accurate subscriber insight depends on the Analytical Engineer, who produces daily, weekly, and monthly reports and persistent segmentation across all marketing channels to support acquisition and retention campaigns. Based within the Subscription Reporting team, this role serves Membership, P&L Finance, and Research stakeholders by automating recurring data mining requests and maintaining rigorous quality control over circulation and revenue figures.

Day-to-Day Responsibilities

• Produce daily, weekly, and monthly in-depth reports on strategy performance.
• Prepare data for analysis by Circulation Planning and Membership groups.
• Follow an air-tight quality control process to ensure reporting and analytics accurately reflect circulation and revenue figures.
• Produce persistent segmentation across all marketing channels for measurement of subscriber behavior.
• Produce operational metrics to measure throughput and build scale within a growing organization.
• Identify opportunities to enhance targeting and segmentation capabilities.
• Help automate recurring data mining requests for the Subscription Reporting queue.

Professional Experience

• 3+ years of strong SQL coding experience.
• 1+ years of SAS experience.
• Experience in subscription marketing and reporting with knowledge of industry key metrics.
• Proficient in Tableau, with email marketing experience as a plus.
• Quality assurance orientation with strong detail orientation and self-starter mindset.
• Strong written and oral communication skills.

As the Predictive Analytical Engineer, this role uses predictive analytics tools such as Aveva Prism and Tibco Spotfire to build models for plant equipment, detect operational issues, and identify continuous efficiency improvement opportunities within Airgas's LEAD Center. The LEAD Center relies on this work to drive plant reliability and efficiency outcomes by collaborating with maintenance, engineering, and operations experts across the organization.

Engineering Responsibilities

• Use predictive analytical tools to build models for specified plant equipment and processes and detect technical operational issues and opportunities for continuous efficiency improvement.
• Thoroughly investigate issues identified by modeling tools to determine if they are model-related or real operational issues.
• Collaborate with experts in national maintenance, efficiency, engineering, and plant operations to drive operational issues to resolution.
• Utilize the case management process to document and track efficiency opportunities and reliability risks.
• Chair recurring meetings with subject matter experts and facility personnel to ensure issues identified by modeling tools are driven to resolution.
• Assess the effectiveness of plant data analytics models and suggest, manage, and implement areas for improvement.
• Monitor and communicate plant efficiencies using both real-time and historical data streams.
• Conduct daily analysis of plant efficiency KPIs and actively find opportunities to improve efficiency and reliability using predictive analytical tools.
• Become an expert in OSISoft PI and lead one of the various LEAD Center programs.

Minimum Qualifications

• Bachelor's degree in an engineering discipline.
• 3 to 5 years of industrial experience, with 2+ years in a plant operations environment preferred.
• Working knowledge of industrial gases technology including ASU, LOS, CO2, and SMR preferred.
• Proficient in Aveva Prism, Tibco Spotfire, OSISoft PI, Power BI, Google Suite, and MS Excel.
• Strong data analytical, problem-solving, and organizational skills with the ability to multi-task and work self-directed.
• Excellent verbal and written communication skills with comfort in both corporate and field environments.

Analytical Engineer resolves complex customer issues in econometrics, time series, and forecasting by applying deep expertise in SAS/ETS software and advanced analytical techniques across SAS's Technical Support organization. The work directly supports product quality and customer success by informing Research and Development on software improvements and contributing knowledge resources to the broader SAS user community.

What You'll Do

• Respond to customer issues regarding SAS software in the areas of econometrics, time series, and forecasting.
• Proactively communicate carefully and effectively with customers and experts across SAS during the problem resolution process.
• Set and manage internal and external expectations and project pressures at all levels of technical and business management.
• Build knowledge of new SAS software products, advanced analytical and business domains, and new technologies.
• Apply expertise in analytical techniques to suggest appropriate software features, SAS procedures, and solutions and to troubleshoot and resolve complex issues.
• Act as a stakeholder in the product lifecycle with Research and Development to improve quality and design of future software releases.
• Review product documentation and education courses for technical accuracy, consistency, and user perspective.
• Share product knowledge by authoring software usage notes, technical papers, and presentations and engaging in the SAS Communities.
• Suggest, manage, and implement special projects to assist Technical Support, users, or other teams.

Technical Qualifications

• Master's degree in Econometrics or Statistics with coursework in Econometrics, Time-Series, and Forecasting, with advanced degree strongly preferred.
• Experience with SAS/ETS, SAS/STAT, SAS/OR, and SAS/IML software or other Econometrics and Time-Series tools, with SAS Certifications preferred.
• Excellent analytical and problem-solving skills with ability to resolve user questions through independent study, investigative programming, and collaborative efforts.
• Ability to set and manage expectations internally and externally at all levels of technical and business management.
• Excellent written and verbal communication skills with fluency in English.
• Ability to handle deadlines in a multitasking environment.

The Senior Analytical Engineer owns the end-to-end execution of Trade Orders for Emerson, designing detailed technical solutions for customer analytical measurement applications across petrochemical, refining, and LNG industries. Working closely with pursuit teams, assembly and fabrication staff, and procurement, this role delivers technically complete engineering packages on time and in full compliance with Emerson quality standards.

Key Responsibilities

• Review tender and project specifications, design the system, and highlight technical deviations.
• Design detailed technical solutions for specific customer analytical measurement applications.
• Perform basic design and detailed engineering including preparation of engineering documents, data sheets, schematics, and general arrangement drawings in accordance with submission schedules.
• Prepare purchase specification and RFQ documents for all components required to build functional solutions.
• Evaluate vendor proposals and quotations to ensure specification and documentation compliance and assist in procuring instruments in accordance with project requirements.
• Advise and support the assembly and fabrication team to ensure construction meets all project requirements.
• Perform or coordinate site installation and commissioning activities.
• Assume overall responsibility for execution of Trade Orders including costing, schedule control, engineering, design, procurement, fabrication, testing, and final documentation.
• Provide technical support to pursuit team during the bidding stage.

Education and Experience

• Bachelor's degree in Chemistry, Process Engineering, Physics, Instrumentation Engineering, or Electrical Engineering.
• 7+ years of relevant experience.
• Knowledge of various gas and liquid analyzers including gas chromatograph, CEMS, SWAS, pH, conductivity, redox, oxygen, CO2, H2S, moisture, and HCDP systems.
• Knowledge of applications in petrochemical, refining, and LNG industries.
• Experience designing analyzer systems and selecting PLC and HMI software.
• Proficient in MS Office with good interpersonal, communication, analytical, and judgmental skills.

Embedded within the engineering and project execution team, the Internship Analytical Engineer helps execute Tier 1 to Tier 3 projects by designing technical solutions, creating P&IDs, and liaising with system integration, procurement, and documentation teams. Working closely with customers, service departments, and internal production staff, this role develops hands-on knowledge of analytical systems across refining, ethylene, and LNG applications.

Core Functions

• Help execute small and complex projects from Tier 1 to Tier 3.
• Follow up on customer specifications and ensure fulfillment of contract requirements and on-time delivery.
• Learn and understand customer applications and processes including refining, ethylene, and LNG applications.
• Design technical solutions for specific customer applications.
• Participate in project kick-off meetings and technical discussions with customers.
• Outline project documentation and certification requirements and create P&IDs for the system.
• Provide technical specifications for buyout components and technical documents for production and final customer documentation.
• Liaise with system integration, procurement, and documentation teams.
• Assist the service department with life cycle activities.

Requirements

• Technical degree in Chemistry, Process Engineering, Physics, Electrical Engineering, or Mechanical Engineering, or equivalent work experience.
• Technical understanding of process engineering and instrumentation.
• Basic understanding of applications in petrochemical, chemical, refining, and power industries is a plus.
• Proficient in MS Office with experience in analytical systems as an advantage.
• Strong English language skills in both verbal and written communication.
• Self-organized with the ability to prioritize tasks and manage multiple projects simultaneously.