Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Dallas, TX, US
Actively hiring, first seen by us 5 hours ago. Profile, cleanse, reconcile, and analyze source data and discovery findings to establish an accurate view of current state data assets and dependencies. . Develop and apply data criticality/scoring models and synthesize results into clear recommendations and priorities. . Analyze metadata, lineage, dependencies, ownership, quality indicators, and business definitions to identify gaps and opportunities. . Elicit, document, validate, and trace business and data requirements; convert findings into actionable backlog items and implementation specifications. . Support definition of data products, schemas, access requirements, mappings, quality rules, and acceptance criteria in partnership with the architect and governance lead. . Develop clear analysis, dashboards, documentation, and presentations that explain findings and decisions to business and technical stakeholders. . Validate AI assisted analysis and outputs against source data, established standards, and stakeholder expectations. . Contribute to Agile planning, backlog refinement, design reviews, testing/UAT, and solution validation. What You'll Bring: Strong SQL and practical experience profiling, reconciling, transforming, and validating data.. Experience performing data discovery, metadata/dependency analysis, source to target mapping, and requirements analysis.. Ability to design or apply scoring, prioritization, and assessment methods and explain results using clear evidence.. Strong requirements gathering and documentation skills, with the ability to translate analysis into actionable specifications and backlog items.. Working knowledge of data quality, metadata, lineage, business definitions, access controls, and data governance concepts.. Familiarity with Databricks, Alteryx, Tableau/Power BI, Excel, Jira, Confluence, or comparable analytics and delivery tools.. Ability to understand complex data flows and domain specific requirements while maintaining analytical rigor and attention to detail.. Strong written, verbal, presentation, facilitation, and stakeholder management skills.. Experience using approved AI tools to accelerate analysis while applying appropriate validation and human review #LI-SG2 Education: Bachelor's in computer science or closely related field. Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $81,600.00 $198,800.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programsRead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
From 14,205 similar postings that came down. Coming down is not always a hire.
115 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
. Profile, cleanse, reconcile, and analyze source data and discovery findings to establish an accurate view of current state data assets and dependencies. . Develop and apply data criticality/scoring models and synthesize results into clear recommendations and priorities. . Analyze metadata, lineage, dependencies, ownership, quality indicators, and business definitions to identify gaps and opportunities. . Elicit, document, validate, and trace business and data requirements; convert findings into actionable backlog items and implementation specifications. . Support definition of data products, schemas, access requirements, mappings, quality rules, and acceptance criteria in partnership with the architect and governance lead. . Develop clear analysis, dashboards, documentation, and presentations that explain findings and decisions to business and technical stakeholders. . Validate AI assisted analysis and outputs against source data, established standards, and stakeholder expectations. . Contribute to Agile planning, backlog refinement, design reviews, testing/UAT, and solution validation. What You'll Bring: Strong SQL and practical experience profiling, reconciling, transforming, and validating data.. Experience performing data discovery, metadata/dependency analysis, source to target mapping, and requirements analysis.. Ability to design or apply scoring, prioritization, and assessment methods and explain results using clear evidence.. Strong requirements gathering and documentation skills, with the ability to translate analysis into actionable specifications and backlog items.. Working knowledge of data quality, metadata, lineage, business definitions, access controls, and data governance concepts.. Familiarity with Databricks, Alteryx, Tableau/Power BI, Excel, Jira, Confluence, or comparable analytics and delivery tools.. Ability to understand complex data flows and domain specific requirements while maintaining analytical rigor and attention to detail.. Strong written, verbal, presentation, facilitation, and stakeholder management skills.. Experience using approved AI tools to accelerate analysis while applying appropriate validation and human review #LI-SG2 Education: Bachelor's in computer science or closely related field. Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $81,600.00 $198,800.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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Dallas, TX, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.