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Data Analyst
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Dallas, TX · On-site
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Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
Demonstrates advanced Excel skills, including complex formulas, pivot tables, and data analysis techniques. * Strong proficiency in SQL and relational databases (e.g., SQL Server, Oracle, Snowflake)
Data Analyst
Dallas, TX · On-site
$65K - $84K/yr
Data Analyst Location: Onsite, Dallas, TX Position Summary The Data Analyst supports the Client ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...
Quick apply
Data Analyst
Dallas, TX · On-site
$65K - $84K/yr
Data Analyst Location: Onsite, Dallas, TX Position Summary The Data Analyst supports the Client ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...
Merchandising Data Analyst
Irving, TX · On-site
They are seeking a Merchandising Data Analyst to transform raw retail data into actionable ... MS Excel (Power Query, Pivot Tables, interactive dashboards, and custom functions). • SQL: At ...
Merchandising Data Analyst
Irving, TX · On-site
They are seeking a Merchandising Data Analyst to transform raw retail data into actionable ... MS Excel (Power Query, Pivot Tables, interactive dashboards, and custom functions). • SQL: At ...
Data Analyst
Waco, TX · On-site
$70K/yr
Develop Excel-based reports, templates, tracking tools, and analysis workbooks to improve ... Experience with Power BI, Tableau, SQL, Microsoft Access, or other reporting and business ...
Quick apply
Data Analyst
Waco, TX · On-site
$70K/yr
Develop Excel-based reports, templates, tracking tools, and analysis workbooks to improve ... Experience with Power BI, Tableau, SQL, Microsoft Access, or other reporting and business ...
Weekend Data Analyst Sql Excel information
What is the difference between Weekend Data Analyst Sql Excel vs Weekend Business Intelligence Analyst?
| Aspect | Weekend Data Analyst Sql Excel | Weekend Business Intelligence Analyst |
|---|---|---|
| Required Skills | SQL, Excel, data analysis, reporting | SQL, data visualization, BI tools, reporting |
| Work Environment | Data-focused, project-based, flexible hours | Data visualization, dashboard creation, strategic analysis |
| Industry Usage | Finance, marketing, retail | Corporate, tech, consulting |
Weekend Data Analysts SQL Excel focus on data extraction, analysis, and reporting using SQL and Excel tools, often in flexible or part-time roles. Weekend Business Intelligence Analysts build dashboards and interpret data trends using BI tools, with a broader focus on strategic insights. Both roles require similar technical skills but differ in scope and application.
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The most popular types of Data Analyst Sql Excel jobs in Texas are:
What are popular job titles related to Weekend Data Analyst Sql Excel jobs in Texas?
For Weekend Data Analyst Sql Excel jobs in Texas, the most frequently searched job titles are:
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The top searched job categories for Weekend Data Analyst Sql Excel jobs in Texas are:
What cities in Texas are hiring for Weekend Data Analyst Sql Excel jobs?
Cities in Texas with the most Weekend Data Analyst Sql Excel job openings:
Full-time
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Job description
Role : Data Analyst
Location : Richardson, TX (Hybrid)
Key Skills:
Job Description:
As a Data Analyst on the Advisory Data & Research team, you'll own analytical workstreams end-to-end, partner closely with a scrum team, and sit at the intersection of data, technology, and the business. You'll be close to the data - and close to the users - shaping what gets measured and why.
This isn't a reporting-factory role. You'll help frame the questions and define the methodology. You will drive the analysis, and be accountable for the insights. You'll partner with UX designers and product managers to embed analytics people actually use, push engineering teams on data quality and pipeline reliability, and represent your findings to business leaders and D&T leadership alike.
What You'll Do
• Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and D&T leadership into a clear, prioritized set of questions to answer and metrics to track.
• Build, maintain, and refine dashboards, reports, and self-service analytics: write clean, well-documented SQL, groom data backlogs, lead refinement sessions with stakeholders, and actively participate in scrum ceremonies, demos, and lead user testing and rollout of analytical products.
• Drive data discovery alongside Product and UX partners - conduct user research on analytical needs, run feedback sessions, and champion the end-user perspective in every metric and visualization decision.
• Translate business questions into execution by collaborating closely with Engineering and Data Engineering, turning analytical requirements into well-modeled, reliable, queryable data.
• Define and deliver specific analyses end-to-end, from problem framing through validation, presentation, and measurement of impact.
• Represent your analysis to business leadership and D&T leadership - providing crisp, regular readouts and connecting day-to-day work to broader strategic goals.
• Spot data quality problems before they become blockers: proactively investigate anomalies, resolve issues, and communicate with clarity and urgency when it matters.
What You'll Need
• 3-5+ years of experience in Data Analytics, Business Intelligence, Business Analytics, or a related quantitative field - with a track record of delivering analyses that influenced decisions. A bachelor's degree in a quantitative discipline is preferred; relevant experience counts.
• Strong SQL skills with hands-on experience querying large, complex datasets, plus fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar). Proficiency in Python or R for analysis and automation is a plus.
• Strong instincts for prioritization - you know which questions matter, and you know how to explain why.
• The communication skills to work across levels: from a debugging session with a data engineer to a C-suite readout, you adjust your style and land your message.
• A bias for the truth - you ask hard questions of the data, validate your assumptions, and let what you find change your mind.
• Comfort navigating ambiguity, managing competing priorities, and keeping work focused when requirements shift.
• Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks).
• Experience with data modeling, data quality, and data governance - you understand data and how it interacts with products and decisions.
• Experience in Commercial Real Estate (nice to have)
Location : Richardson, TX (Hybrid)
Key Skills:
- Must be proficient in using AI
- Experience with commercial real estate data
- Able to present and communicate ideas to C-suite executives
- Software skills: Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks)
Job Description:
As a Data Analyst on the Advisory Data & Research team, you'll own analytical workstreams end-to-end, partner closely with a scrum team, and sit at the intersection of data, technology, and the business. You'll be close to the data - and close to the users - shaping what gets measured and why.
This isn't a reporting-factory role. You'll help frame the questions and define the methodology. You will drive the analysis, and be accountable for the insights. You'll partner with UX designers and product managers to embed analytics people actually use, push engineering teams on data quality and pipeline reliability, and represent your findings to business leaders and D&T leadership alike.
What You'll Do
• Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and D&T leadership into a clear, prioritized set of questions to answer and metrics to track.
• Build, maintain, and refine dashboards, reports, and self-service analytics: write clean, well-documented SQL, groom data backlogs, lead refinement sessions with stakeholders, and actively participate in scrum ceremonies, demos, and lead user testing and rollout of analytical products.
• Drive data discovery alongside Product and UX partners - conduct user research on analytical needs, run feedback sessions, and champion the end-user perspective in every metric and visualization decision.
• Translate business questions into execution by collaborating closely with Engineering and Data Engineering, turning analytical requirements into well-modeled, reliable, queryable data.
• Define and deliver specific analyses end-to-end, from problem framing through validation, presentation, and measurement of impact.
• Represent your analysis to business leadership and D&T leadership - providing crisp, regular readouts and connecting day-to-day work to broader strategic goals.
• Spot data quality problems before they become blockers: proactively investigate anomalies, resolve issues, and communicate with clarity and urgency when it matters.
What You'll Need
• 3-5+ years of experience in Data Analytics, Business Intelligence, Business Analytics, or a related quantitative field - with a track record of delivering analyses that influenced decisions. A bachelor's degree in a quantitative discipline is preferred; relevant experience counts.
• Strong SQL skills with hands-on experience querying large, complex datasets, plus fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar). Proficiency in Python or R for analysis and automation is a plus.
• Strong instincts for prioritization - you know which questions matter, and you know how to explain why.
• The communication skills to work across levels: from a debugging session with a data engineer to a C-suite readout, you adjust your style and land your message.
• A bias for the truth - you ask hard questions of the data, validate your assumptions, and let what you find change your mind.
• Comfort navigating ambiguity, managing competing priorities, and keeping work focused when requirements shift.
• Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks).
• Experience with data modeling, data quality, and data governance - you understand data and how it interacts with products and decisions.
• Experience in Commercial Real Estate (nice to have)
About InfiCare Technologies
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
Dulles, VA, US
Year founded
2001