etl analyst

Mastech Digital

<div>
 
 
 Title: Senior Data Analyst
 
 
 
 
 Duration: Long term
 
 
 
 
 Location: Dallas , TX
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 
 Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.
 
 
 Responsibilities
 
 <ul>
 <li>
 Investigate and Analyze data anomalies and data issues reported by Business
 </li>
 <li>
 Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
 </li>
 <li>
 Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
 </li>
 <li>
 Assist in break fix and production validation as it relates to data derivations, replication and structures
 </li>
 <li>
 Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools
 </li>
 <li>
 Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
 </li>
 <li>
 Gather information from various Sources and interpret Patterns and Trends
 </li>
 <li>
 Ability to work in a team-oriented, fast-paced agile environment managing multiple
 </li>
 <li>
 priorities
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
 </li>
 <li>
 4+ years of experience working with Exadata and SQL Server databases
 </li>
 <li>
 4+ years in a Data Analyst role
 </li>
 <li>
 Strong attention to Detail
 </li>
 <li>
 2+ years writing medium to complex stored procedures a plus
 </li>
 <li>
 Ability to collaborate effectively and work as part of a team
 </li>
 <li>
 Extensive background in writing complex queries
 </li>
 <li>
 Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
 </li>
 <li>
 Good Communication skills
 </li>
 <li>
 Self-Motivated
 </li>
 <li>
 Works well in a team environment
 </li>
 <li>
 Denodo Experience a plus
 </li>
 <li>
 Master Data Management a plus
 </li>
 <li>
 Big Data Experience a plus (Hadoop, MongoDB)
 </li>
 <li>
 Postgres and Cloud Experience a plus
 </li>
 </ul>
 
 
</div>

Sr Data Analyst

Texas Comptroller of Public Accounts

<div><div>RRC - Data Analyst III - V (00056908)<div>
</div>
Organization: RAILROAD COMMISSION OF TEXAS<div>
</div></div><div>
Primary Location: Texas-Austin<div>
</div>
Work Locations: RRC Headquarters 1701 N Congress Avenue Austin 78701<div></div><div> 
</div></div><div>
Job: Computer and Mathematical<div>
</div></div><div>
Employee Status: Regular<div>
</div></div><div>
Schedule: Full-time<div>
</div>
Standard Hours Per Week: 40.00<div>
</div></div><div>
State Job Code: 0654<div>
</div></div><div>
Salary Admin Plan: B<div>
</div></div><div>
Grade: 22 24, 26<div>
</div></div><div>
Salary (Pay Basis): 6,377.50 - 9,916.67 (Monthly)<div>
</div></div><div>
Number of Openings: 1<div>
</div></div><div>
Overtime Status: Exempt<div>
</div></div><div>
Job Posting: Mar 18, 2026, 2:17:13 PM<div>
</div></div><div>
Closing Date: Apr 1, 2026, 11:59:00 PM<div>
</div></div><div>
Description<div></div> 
The Railroad Commission of Texas is a state agency with primary regulatory jurisdiction over the oil and natural gas industry; pipeline transport and pipeline safety; natural gas utilities; the LP-gas industry; and surface mining operations. You can find more details about us on the Railroad Commission of Texas' website here: https://www.rrc.texas.gov/about-us/.
To support our mission to serve Texas, we need great people to join our team. We provide a great working environment along with outstanding benefits, including:<ul><li>
Generous paid time off, including vacation, sick time, and at least 12 paid holidays per year</li><li>
Telework options for eligible positions</li><li>
Flexible work schedules</li><li>
Retirement pension with a 150% agency match &ndash; you can watch this YouTube video that describes this amazing benefit https://www.youtube.com/watch?v=AJI6M7g73-w</li><li>
401(k), 457(b) and Roth</li><li>
Health premiums 100% paid for full-time employees</li><li>
Tuition Reimbursement</li><li>
Wellness and Exercise Leave</li><li>
Career development programs/opportunities for advancement</li></ul>
For a complete list of our total compensation package, please visit our website at https://www.rrc.texas.gov/about-us/jobs/. To view benefits available to all State of Texas employees, visit the Employee Retirement Systems website at https://ers.texas.gov/benefits-at-a-glance.
Job Description
The Railroad Commission of Texas (RRC) seeks a Data Analyst III, IV, or V to perform data analysis and documentation supporting the agency's Technology Modernization initiatives (including Mainframe Transformation and LoneSTAR). Work is data-centric: profiling and mapping data, documenting source-to-target (S2T) transformations, analyzing root causes of data defects, defining data quality controls, and creating dataflow/lineage documentation across SQL Server, Oracle, and mainframe/legacy sources.
The analyst collaborates with product owners, SMEs, DBAs, ETL engineers (SSIS/ADF/Informatica), and reporting teams (Power BI/SSRS) to translate business needs into requirements, specifications, and testable acceptance criteria; ensure accurate, timely extracts/loads; and support audit-ready reporting. Work is performed under limited supervision with considerable latitude for initiative and independent judgment.
This position will be responsible for data analysis and documentation during the implementation of multiple interrelated projects (including the deployment of software applications in Software as a Service (SaaS) or Commercial Off-the-Shelf (COTS), data migration from the mainframe to new systems, and building a Data Warehouse). Assessment of existing Mainframe Transformation business analysis processes, implementation of any necessary improvements to these processes, and monitoring/enforcement of the processes to ensure deliverables and materials are produced and maintained in accordance with newly established processes and procedures, are of consistent quality, and use accepted business analysis methodologies. Make assignments and track the work of other team members, or complete individual assignments as needed. Works under limited supervision, with considerable latitude for the use of initiative and independent judgment.
Essential Job Functions<ul><li>
Assess and improve program analysis/process standards (with emphasis on data mapping, lineage, and reconciliation); monitor adherence and quality.</li><li>
Elicit and document data and reporting requirements (KPIs, filters, aggregations, cadence, delivery channel) and translate into functional/data specifications.</li><li>
Produce and maintain data profiling results, source-to-target mapping documents, business rules, transformation logic, and data dictionaries for ETL/ELT (SSIS/ADF/Informatica) between SQL Server/Oracle and legacy/mainframe sources.</li><li>
Create and maintain end-to-end dataflow and lineage diagrams (current-state and future-state) covering staging, integration, and presentation/reporting layers.</li><li>
Define and execute data quality controls (row-count checks, checksums/hashes, referential integrity, threshold/exception reports) and drive root-cause analysis for data issues.</li><li>
Partner with ETL and app teams on incremental/CDC strategies, load windows, and performance considerations; validate loads and reconcile with sources.</li><li>
Support reporting and analytics deliverables (Power BI/SSRS): field definitions, semantic model requirements, and validation of calculations/filters against business rules.</li><li>
Plan and facilitate UAT for data changes and reports (test scenarios, expected results, sign-offs); coordinate remediation of defects and re-tests.</li><li>
Contribute to cutover/runbooks for data migrations; track issues/risks and maintain auditable documentation in SharePoint/Confluence/Azure DevOps.</li><li>
Performs related work as assigned</li></ul> 
For Military Crosswalk information, please visit: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_PlanningResearchandStatistics.pdf<div> 
</div></div><div>
Qualifications<div></div> 
Minimum Qualifications
Data Analyst III<ul><li>
Bachelor's Degree from an accredited four-year college or university, preferably with major coursework in information systems, computer science, business, or a related field.</li><li>
6+ years of progressive experience as a Data Analyst on enterprise IT projects, including hands-on requirements, data mapping, profiling, lineage, and documentation responsibilities; experience may be concurrent.</li><li>
Planning, developing, and implementing projects or maintenance activities.</li><li>
Experience may have occurred concurrently.</li><li>
Experience and education may be substituted for each other on a year-for-year basis</li></ul> 
Data Analyst IV<ul><li>
Bachelor's Degree from an accredited four-year college or university, preferably with major coursework in information systems, computer science, business, or a related field.</li><li>
8+ years of progressive experience as a Data Analyst on enterprise IT projects, including hands-on requirements, data mapping, profiling, lineage, and documentation responsibilities; experience may be concurrent.</li><li>
Planning, developing, and implementing projects or maintenance activities.</li><li>
Experience may have occurred concurrently.</li><li>
Experience and education may be substituted for each other on a year-for-year basis</li></ul> 
Data Analyst V<ul><li>
Bachelor's Degree from an accredited four-year college or university, preferably with major coursework in information systems, computer science, business, or a related field.</li><li>
10+ years of progressive experience as a Data Analyst on enterprise IT projects, including hands-on requirements, data mapping, profiling, lineage, and documentation responsibilities; experience may be concurrent.</li><li>
Planning, developing, and implementing projects or maintenance activities.</li><li>
Experience may have occurred concurrently.</li><li>
Experience and education may be substituted for each other on a year-for-year basis.</li></ul> 
Preferred Qualifications<ul><li>
Experience with the RBDMS platform.</li><li>
Experience dealing with regulatory processes, for example, permitting, inspection, and/or licensing.</li><li>
Experience with process improvement strategies and methodologies.</li><li>
Experience with test planning and implementation strategies, particularly user acceptance testing.</li><li>
Proven ability to lead change and design more efficient processes.</li><li>
Proven ability to resolve conflict and deal with challenging situations.</li><li>
Advanced SQL proficiency (SQL Server and/or Oracle) for profiling, validation, and reconciliation; fluency with ERD/relational modeling, normalization, keys, and indexing.</li><li>
Demonstrated experience working with ETL/ELT teams and artifacts (SSIS, ADF, and/or Informatica): reading/writing S2T specs, documenting transformations, and validating loads.</li><li>
Proven ability to define data quality rules and execute reconciliation/exception analysis; deliver root-cause findings and corrective actions.</li><li>
Strong technical writing skills and proficiency with Visio/diagramming; experience maintaining auditable artifacts in SharePoint/Confluence/Azure DevOps.</li><li>
Experience facilitating UAT for data/reporting deliverables (test design, execution tracking, sign-off).</li><li>
Oil &amp; gas/regulatory domain experience and/or familiarity with RBDMS data models.</li><li>
Experience bridging mainframe/hierarchical data (e.g., VSAM/IMS) into relational structures and documenting the mappings.</li><li>
Exposure to Power BI/SSRS (semantic modeling concepts, DAX basics, report validation) and Snowflake or Azure analytics services.</li><li>
Familiarity with MuleSoft/GoAnywhere and file-based integrations, including scheduling, controls, and reconciliation.</li><li>
Experience with process improvement methods and change management for data-centric projects; prior leadership of analysis standards.</li><li>
Scripting for analysis/automation (e.g., Python or PowerShell) and experience with data catalog/lineage tools.</li></ul>
Knowledge, Skills, and Abilities<ul><li>
Knowledge of Business / Data Analysis and Project Management Processes (BABOK/PMBOK) and the DIR Project Delivery Framework.</li><li>
Knowledge of systems and procedures used to evaluate a third-party vendor's performance.</li><li>
Knowledge of Agile methodologies, including build planning, sprint planning, and sprint execution processes and activities.</li><li>
Knowledge of large-scale IT operations and information technology industry trends.</li><li>
Knowledge of modernizing technology from legacy/mainframe systems to modern technologies.</li><li>
Knowledge of change management best practices for technology-related initiatives, including training and communication.</li><li>
Knowledge of user acceptance testing methods and strategies.</li><li>
Knowledge of work simplification methods.</li><li>
Skill in the coordination of business/data analyst activities, analysis and documentation of business processes, elicitation of requirements, development of process improvement, planning and execution of integration and user acceptance testing, support of development training, and implementation material.</li><li>
Skill in coordinating and solving problems.</li><li>
Skill in managing user expectations and satisfaction.</li><li>
Skill in analyzing complex business/data environments and policies to develop effective and innovative solutions.</li><li>
Ability to lead diverse activities while maintaining a high degree of efficiency in achieving the commission goals through consistent, effective assessment and implementation of improvements.</li><li>
Ability to exercise sound judgment in making critical decisions; to analyze complex information and develop plans; to interpret complex data; to effectively demonstrate negotiation and facilitation skills; to communicate effectively; and to plan, assign, and/or supervise the work of others.</li><li>
Ability to respond effectively in high-priority, high-pressure, or highly visible situations (e.g., elected official, Legislative, or Executive requests) when necessary and meet changing demands, priorities, and timelines.</li><li>
Ability to communicate complex technical information clearly and concisely, both orally and in writing, to diverse audiences.</li><li>
Ability to analyze systems and procedures; to write and revise standards and procedures; and to handle multiple projects.</li><li>
Ability to maintain working relationships with internal/external stakeholders.</li><li>
Ability to take initiative and work independently.</li><li>
Ability to work effectively on a team as a member and a leader.</li></ul>
Miscellaneous Requirements:<ul><li>
Ability to work a consistent schedule such as Monday-Friday, 8 AM &ndash; 5 PM Central Time, with occasional flexible hours, after hours, weekends, and holidays.</li></ul>
Note: Salary will be determined based on education and experience. 
Work Hours: Standard office hours for Commission employees are 8:00 a.m. to 5:00 p.m., Monday through Friday. Our agency offers alternative schedules for employees, provided they do not adversely affect operations or service levels and standard hours of operation are maintained. The Commission may also offer telework in accordance with the agency's approved Telework Plan. Alternate work schedules may be discussed with the hiring manager during the interview process. 
Teleworking may be considered if certain working conditions are met. The candidate must have permanent residency in the state of Texas and must be able to meet in-office requirements, which can vary by section (e.g., report to the office 1 day/month, 3 days/week, etc.). Travel reimbursements are not provided for teleworking. 
APPLICATIONS SUBMITTED THROUGH WORK IN TEXAS: Work In Texas (WIT) applicants must complete the CAPPS Recruit Prescreening Questionnaire to be considered for the posting. To complete the Prescreening Questionnaire, go to CAPPS Recruit to register or login: https://capps.taleo.net/careersection/ex/jobsearch.ftl?lang=en 
 
Remarks:<ul><li>
There is one available position.</li><li>
Official transcripts, DD214 or DD1300, copies of license/certifications, or other minimum requirement validations will be requested at the time of the job offer.</li><li>
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.</li><li>
Criminal background checks will be conducted on all final candidates. An applicant who has been convicted of a criminal offense relevant to the position may be disqualified from employment.</li></ul> 
 
THE RAILROAD COMMISSION OF TEXAS ONLY ACCEPTS ONLINE APPLICATIONS FOR THIS POSTING. 
 
Due to the high volume of applications, we do not accept telephone calls. Only candidates selected for an interview will be contacted. Notifications to applicants are sent electronically to the email address you provide. 
 
The Railroad Commission of Texas is an Equal Opportunity Employer and does not 
discriminate on the basis of race, color, national origin, sex, religion, age 
or disability in employment or in the provision of services. 
The Railroad Commission of Texas is a tobacco-free workplace.</div></div>

RRC - Data Analyst III - V

LTIMindtree

<div>Role description 
Technical Analyst Informatica IDMC

Role Summary

he Onshore Technical Analyst Informatica IDMC acts as a critical link between business stakeholders and technical teams supporting cloudbased data integration initiatives using Informatica Data Management Cloud IDMC The role focuses on requirement analysis solution support data validation and coordination with development teams to ensure accurate reliable and businessaligned data delivery This position requires strong communication skills and handson technical understanding to work closely with onshore business users and offshore delivery teams

Key Responsibilities

Work directly with onshore business stakeholders to gather analyze and document data and integration requirements

Translate business requirements into functional and technical specifications for IDMCbased solutions

Collaborate with data engineers and architects to support design and development of ETLELT workflows using Informatica IDMC

Perform data analysis data profiling and validation to ensure completeness accuracy and consistency of data

Support testing activities including unit testing system testing and user acceptance testing

Review data outputs and reconcile sourcetotarget mappings

Assist in monitoring data workflows and support issue triage root cause analysis and defect resolution

Coordinate with offshore teams to clarify requirements track progress and validate deliverables

Prepare and maintain technical documentation mapping specifications and data flow diagrams

Support change requests enhancements and production support activities following SDLC and Agile practices

Required Skills Experience

Strong working knowledge of Informatica IDMC Informatica Intelligent Cloud Services IICS

Solid understanding of ETL concepts data integration patterns and data warehousing fundamentals

Proficiency in SQL for data analysis reconciliation and validation

Experience working with relational databases and structured data sources

Ability to analyze data issues and support troubleshooting and root cause analysis

Experience interacting with business users and translating requirements into technical context

Strong communication documentation and coordination skills

Preferred Good to Have

Exposure to cloud platforms such as AWS Azure or GCP

Familiarity with data quality data governance or metadata concepts

Experience supporting cloud data pipelines in production environments

Understanding of AgileScrum delivery models

Experience working in an onshoreoffshore delivery model 
Skills 
Mandatory Skills : IICS - IDMC 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $100,000.00 to $110,000.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Specialist - Data Engineering

Contour Software

<div>
 
 About Contour
 
 
 
 Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.
 
 
 As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.
 
 
 What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for an experienced analyst to guide our clients through smooth, accurate data migrations as they transition to a new platform. This role blends hands-on technical work (SQL, data transformation, integrations) with process optimization - helping us streamline and automate our internal workflows using modern tooling, scripting, and AI-assisted processes.
 
 
 You&rsquo;ll collaborate with clients, internal specialists, and cross-functional teams to ensure each migration is high-quality, and repeatable.
 
 
 
 
 
 Key Responsibilities
 
 
 
 Client Data Migration
 
 
 <ul>
 <li>
 Analyze customer datasets, map data structures, and migrate data from existing sources into BEC database formats.
 </li>
 <li>
 Serve as the primary technical contact for assigned clients; guide them through Entra ID setup, Exchange configuration, Azure app registration, and related technical requirements.
 </li>
 <li>
 Diagnose data issues, propose solutions, and ensure a clean import pipeline with minimal rework.
 </li>
 <li>
 Provide clients with best-practice recommendations on what to migrate and how to structure data for successful import.
 
 
 </li>
 </ul>
 Process Improvement &amp; Automation
 
 
 <ul>
 <li>
 Evaluate existing migration workflows and identify opportunities to streamline, templatize, or automate using scripting, SQL optimization, AI tools, or other automation solutions.
 </li>
 <li>
 Build repeatable internal tools, templates, or scripts that reduce cycle time and improve accuracy.
 </li>
 <li>
 Collaborate with PS team on improving throughput, predictability, and customer experience.
 
 
 </li>
 </ul>
 Documentation &amp; Knowledge Sharing
 
 
 <ul>
 <li>
 Create and maintain clear technical documentation, including installation guides, migration checklists, and knowledge-base articles.
 </li>
 <li>
 Share insights and learnings with other team members to raise overall migration quality and consistency.
 
 
 </li>
 </ul>
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 3+ years working with data in an analytical, migration, or ETL-focused role
 </li>
 <li>
 Proficiency in SQL, including ability to write queries, troubleshoot issues, and perform basic server administration
 </li>
 <li>
 Familiarity with Microsoft ecosystem technologies (Entra ID/Azure AD, Exchange, Azure app registration)
 </li>
 <li>
 Strong communication and client-facing skills, able to translate technical concepts into practical guidance.
 </li>
 <li>
 High sense of ownership, reliability, and follow-through on assigned projects
 </li>
 <li>
 Comfort working in cross-functional teams and balancing multiple concurrent client engagements
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Achieves ~80% accuracy on initial data imports, reducing rework and client friction.
 </li>
 <li>
 Consistently delivers migration milestones on time and with high client satisfaction.
 </li>
 <li>
 Works effectively with PS and cross-functional teams to ensure smooth project handoffs.
 </li>
 <li>
 Demonstrates measurable enhancements to internal processes (e.g., reduced cycle time, fewer manual steps, improved accuracy).
 </li>
 <li>
 Contributes reusable tools/templates that improve team scalability.
 
 
 </li>
 </ul>
 
 Exciting Benefits We Offer
 
 
 
 <ul>
 <li>
 Market-leading Salary
 </li>
 <li>
 Medical Coverage &ndash; Self &amp; Dependents
 </li>
 <li>
 Parents Medical Coverage
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Employee Performance-based bonuses
 </li>
 <li>
 Home Internet Subsidy
 </li>
 <li>
 Conveyance Allowance
 </li>
 <li>
 Profit Sharing Plan [Tenured Employees Only]
 </li>
 <li>
 Life Benefit
 </li>
 <li>
 Child Care Facility
 </li>
 <li>
 Company Provided Lunch/Dinner
 </li>
 <li>
 Professional Development Budget
 </li>
 <li>
 Recreational area for in-house games
 </li>
 <li>
 Sporadic On-shore training opportunities
 </li>
 <li>
 Friendly work environment
 </li>
 <li>
 Leave Encashment
 
 
 </li>
 </ul>
 
 
 Disclaimer:
 
 
 
 At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
 
 
 
 
 In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.
 
</div>

Data Conversion Specialist

ASSYST, Inc.

<div>ASSYST is seeking an experienced Data Reporting Analyst for a contract-based hybrid role in Austin, TX. The ideal candidate will have 8+ years of experience supporting enterprise analytics and reporting initiatives. In this role, the analyst will support out Client by designing, developing, and maintaining data pipelines, dashboards, and analytical reports. The candidate should have strong expertise in ETL development using Informatica, data visualization using Tableau or Power BI, and data analysis across large datasets. This position requires the ability to translate complex business requirements into scalable technical data solutions, ensuring high standards of data accuracy, performance, and reporting efficiency while collaborating closely with business stakeholders and technical teams.

Key Responsibilities
<ul>
<li>Gather, analyze, and document business requirements, reporting needs, and data workflows from stakeholders.</li>
<li>Design, develop, and maintain ETL data pipelines using Informatica IICS to support enterprise reporting and analytics.</li>
<li>Build and maintain interactive dashboards and data visualizations using Tableau and/or Power BI.</li>
<li>Translate business requirements into technical specifications, data models, and reporting frameworks.</li>
<li>Analyze large datasets to identify trends, patterns, and actionable insights for business decision-making.</li>
<li>Perform data validation, testing, and quality assurance for ETL pipelines, dashboards, and reports.</li>
<li>Evaluate system capabilities and recommend improvements to automate reporting and optimize data processes.</li>
<li>Collaborate with cross-functional teams to deploy, publish, and promote reporting solutions within the SHARP platform.</li>
<li>Conduct cost-benefit analysis and feasibility studies for new reporting and automation initiatives.</li>
<li>Document reporting processes, data definitions, and system functionality for operational support and governance.</li>
</ul>
Required Qualifications
<ul>
<li>8+ years of experience building dashboards and reports using Tableau, Power BI, or similar BI tools.</li>
<li>8+ years of experience with ETL development and data management using Informatica.</li>
<li>Strong experience translating business requirements into reporting and data solutions.</li>
<li>Experience working with data pipelines, data transformation, and reporting automation.</li>
<li>Strong understanding of data analysis, reporting frameworks, and data integration processes.</li>
</ul>
Preferred Qualifications
<ul>
<li>4+ years of experience working with large-scale data environments including Snowflake, Oracle, SQL Server, MySQL, or similar databases.</li>
<li>Snowflake experience strongly preferred.</li>
<li>4+ years of experience in data analysis and data interpretation.</li>
<li>2+ years of experience using Informatica ETL tools.</li>
<li>2+ years of experience developing dashboards using Tableau.</li>
<li>2+ years of experience developing dashboards using Power BI.</li></ul> 


ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law</div>

Data Reporting Analyst

Bosch

<div>Company Description 
FHP Manufacturing is a leader in the production of geothermal and water source heat pumps, providing some of the most efficient heating and cooling comfort solutions in the industry. Located in Fort Lauderdale, Florida, FHP is a joint venture between Robert Bosch (Bosch) and Carrier Corporation (Carrier). 
Job Description 
Job Summary:
We are seeking a results-driven Data Analyst to join our Plant Controlling team and spearhead our analytics and automation initiatives. This is not a traditional reporting role; you will be the catalyst for transforming our data landscape. You will architect and build robust ETL pipelines, develop sophisticated analytical models, and create interactive visualizations that provide unprecedented insight into our manufacturing operations.
This role is a critical business partner to plant leadership, focused on leveraging data to drive strategic decisions in production efficiency, cost management, and inventory optimization. If you are passionate about building scalable data solutions, automating complex processes, and using data science to solve real-world business problems, this is the perfect opportunity to make a tangible impact in a world-class manufacturing environment.
Key Responsibilities:<ul><li>
Data Engineering &amp; Automation:<ul><li>
Design, build, and maintain automated ETL pipelines (using tools like Alteryx, Power Query, Python) to extract and consolidate large datasets from SAP (CO, FI, MM) and other plant systems into standardized models for analysis.</li><li>
Develop and deploy automation scripts (Python, VBA) to streamline financial calculations, month-end closing activities, and reporting workflows, significantly reducing manual effort and improving accuracy.</li><li>
Architect and implement robust data reporting frameworks, ensuring data integrity and creating a &quot;single source of truth&quot; for key plant metrics.</li></ul></li><li>
Advanced Analytics &amp; Visualization:<ul><li>
Develop and deploy interactive dashboards in Power BI and/or Tableau to visualize KPIs for executive stakeholders, including production efficiency, cost variances, inventory health, and cash flow trends.</li><li>
Perform comprehensive variance, trend, and ratio analysis to support FP&amp;A reviews, providing clear commentary on deviations from budget and forecast.</li><li>
Write and optimize complex SQL queries to support deep-dive analytics into inventory, expenses, and operational performance.</li></ul></li><li>
Inventory &amp; Cost Controlling:<ul><li>
Conduct in-depth analysis of inventory levels, turnover, and aging to identify slow-moving and obsolete (SLOB) risks and opportunities for optimization.</li><li>
Support and enhance the physical inventory and cycle counting programs by automating data preparation, discrepancy analysis, and results reporting.</li><li>
Analyze manufacturing cost variances (material, labor, overhead) to identify root causes and partner with operations to develop corrective action plans.</li></ul></li><li>
Predictive Modeling &amp; Process Improvement:<ul><li>
(Opportunity for Growth) Implement foundational time-series or regression models (using Python/R) to forecast key metrics like production volume, scrap rates, or inventory needs.</li><li>
Act as a subject matter expert on data tools and methodologies, training junior team members and promoting a data-driven culture within the plant.</li><li>
Continuously identify and implement process improvements by leveraging technology to enhance the capabilities and efficiency of the controlling function.</li></ul></li></ul> 

Qualifications 
<ul><li>
Bachelor&rsquo;s degree in Data Science, Analytics, Information Systems, Business, Finance, or a related quantitative field. Master's degree is a strong plus.</li><li>
1-3 years of experience in a data-intensive role such as Data Analyst, Business Analyst, or Financial Analyst with a heavy focus on data manipulation and automation.</li><li>
Proven hands-on experience with an ERP system, with a strong preference for SAP (FI/CO modules).</li><li>
Advanced proficiency in Microsoft Excel, particularly Power Query for ETL and data modeling.</li><li>
Demonstrated experience building automated workflows and ETL pipelines using tools like Alteryx, Python (Pandas), or similar.</li><li>
Expertise in data visualization and creating executive-level dashboards using Power BI or Tableau.</li></ul> 
Additional Information 
Desired Qualifications:<ul><li>
Strong proficiency in writing and optimizing SQL for data extraction and analysis from relational databases.</li><li>
Proficiency in a scripting language like Python or R for data analysis and statistical modeling (e.g., Scikit-learn, Statsmodels).</li><li>
Experience in a manufacturing, supply chain, or financial controlling environment.</li><li>
Solid understanding of cost accounting and inventory management principles.</li><li>
Exceptional problem-solving skills with the ability to translate complex business questions into a clear analytical framework and actionable insights.</li><li>
Excellent communication skills, with the proven ability to present complex data and technical concepts to senior leadership and non-technical stakeholders</li></ul>
Equal Opportunity Employer, including disability / veterans<ul><li>Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.</li></ul></div>

Data Analyst

Brand786 LTD

We are looking for a Data Analyst / Analytics Engineer to design and manage a modern data infrastructure that centralizes business data and delivers actionable insights across sales, marketing, and operations.Key Responsibilities<ul><li>Design and manage cloud-based data architecture</li><li>Build and maintain ETL/ELT data pipelines</li><li>Integrate data from CRM, marketing, website analytics, and operational systems</li><li>Develop interactive dashboards and reporting systems</li><li>Deliver weekly, monthly, and quarterly business reports</li><li>Analyze data to identify trends, insights, and performance improvements</li><li>Implement data governance, quality checks, and security standards</li><li>Collaborate with department heads to translate business needs into data insights</li></ul>Required Skills<ul><li>Advanced SQL</li><li>Experience with Python or R</li><li>Strong knowledge of data pipelines and ETL processes</li><li>Experience with BI tools (Power BI, Tableau, Looker, etc.)</li><li>Strong understanding of data modelling and analytics</li></ul>Preferred Skills<ul><li>Experience with Google Cloud or Microsoft Azure</li><li>Experience building data infrastructure from scratch</li><li>Knowledge of sales, marketing, and operational analytics</li></ul>Job Type: Full-timeLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

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