Mid Level Data Analyst Jobs
Mid level data analyst jobs go to analysts ready to own projects end to end, translate findings into decisions, and guide junior teammates without hand-holding. Openings are spread across on-site, hybrid, and remote settings in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with employers like Deloitte, Capital One, and TikTok hiring at this level now.
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Overview:
The Data & Automation Analyst (Advanced Specialist, Data Analytics) is responsible to develop and support the Internal Audit Data and testing requirements through AI-driven solutions, advanced analytics, and intelligent automation. This role will develop and deploy scalable solutions that enhance SOX testing, continuous auditing, audit reporting, risk monitoring, and data-driven decision-making. The ideal candidate combines expertise in Microsoft Copilot, Power BI, SQL, Snowflake, Alteryx, and ETL/ELT technologies with a strong understanding of Risk and controls. This role will design repeatable analytics, automate audit activities, and enable auditors with actionable insights that improve efficiency, coverage, and audit quality.
This position will be on-site at the Irving, TX office.
Responsibilities:
- Build and enhance Microsoft Copilot-enabled solutions that support audit testing, SOX control procedures, evidence summarization, issue tracking, and reporting activities.
- Develop automated and semi-automated testing routines for SOX, operational audits and continuous auditing.
- Create reusable analytics workflows, data models, dashboards, and audit testing templates.
- Identify opportunities to reduce manual audit effort through automation, workflow standardization, process mining, and data-enabled testing.
- Support modernization of audit analytics platforms, including migration of existing Microsoft SQL Server assets to Snowflake.
- Partner with auditors and business stakeholders to translate audit requirements into practical analytical and automation solutions.
- Provide technical guidance and working support to auditors using analytical procedures, dashboards, automated testing, and Microsoft Copilot-enabled tools.
- Stay current with trends in Microsoft Copilot, generative AI, audit analytics, data visualization, cloud data platforms, and automation technologies.
Qualifications
- 4+ years of experience in data analytics, audit analytics, automation or related disciplines.
- Demonstrated ability to translate business and audit requirements into reliable analytics, dashboards, automated tests, and repeatable workflows.
- Experience working with large datasets, enterprise applications, and governed data environments.
- Strong analytical thinking, attention to detail, written communication, and stakeholder collaboration skills.
Technical Skills
- AI & Automation: Microsoft Copilot, Copilot Studio, AI agents, Power Automate.
- ERP Knowledge: SAP S/4HANA, ERP table structures, Salesforce.
- Data Platforms: Snowflake, Microsoft SQL Server, Advanced SQL, Alteryx, Python, R, ETL/ELT design, data transformation, data validation, and automated analytics workflows.
- BI & Reporting: Power BI, DAX, data modeling.
Preferred Certification
- Power BI Data Analyst Associate, SnowPro, Alteryx Designer, Microsoft AI/Copilot/Power Platform certifications, CIA, or CISA.
Celanese is a global leader in chemistry, producing specialty material solutions used across most major industries and consumer applications. Our businesses use our chemistry, technology and commercial expertise to create value for our customers, employees and shareholders. We support sustainability by responsibly managing the materials we create and growing our portfolio of sustainable products to meet customer and societal demand. We strive to make a positive impact in our communities and to foster inclusivity across our teams. Celanese Corporation employs more than 11,000 employees worldwide with 2024 net sales of $10.3 billion.
Overview:
The Data & Automation Analyst (Advanced Specialist, Data Analytics) is responsible to develop and support the Internal Audit Data and testing requirements through AI-driven solutions, advanced analytics, and intelligent automation. This role will develop and deploy scalable solutions that enhance SOX testing, continuous auditing, audit reporting, risk monitoring, and data-driven decision-making. The ideal candidate combines expertise in Microsoft Copilot, Power BI, SQL, Snowflake, Alteryx, and ETL/ELT technologies with a strong understanding of Risk and controls. This role will design repeatable analytics, automate audit activities, and enable auditors with actionable insights that improve efficiency, coverage, and audit quality.
This position will be on-site at the Irving, TX office.
Responsibilities:
- Build and enhance Microsoft Copilot-enabled solutions that support audit testing, SOX control procedures, evidence summarization, issue tracking, and reporting activities.
- Develop automated and semi-automated testing routines for SOX, operational audits and continuous auditing.
- Create reusable analytics workflows, data models, dashboards, and audit testing templates.
- Identify opportunities to reduce manual audit effort through automation, workflow standardization, process mining, and data-enabled testing.
- Support modernization of audit analytics platforms, including migration of existing Microsoft SQL Server assets to Snowflake.
- Partner with auditors and business stakeholders to translate audit requirements into practical analytical and automation solutions.
- Provide technical guidance and working support to auditors using analytical procedures, dashboards, automated testing, and Microsoft Copilot-enabled tools.
- Stay current with trends in Microsoft Copilot, generative AI, audit analytics, data visualization, cloud data platforms, and automation technologies.
Qualifications
- 4+ years of experience in data analytics, audit analytics, automation or related disciplines.
- Demonstrated ability to translate business and audit requirements into reliable analytics, dashboards, automated tests, and repeatable workflows.
- Experience working with large datasets, enterprise applications, and governed data environments.
- Strong analytical thinking, attention to detail, written communication, and stakeholder collaboration skills.
Technical Skills
- AI & Automation: Microsoft Copilot, Copilot Studio, AI agents, Power Automate.
- ERP Knowledge: SAP S/4HANA, ERP table structures, Salesforce.
- Data Platforms: Snowflake, Microsoft SQL Server, Advanced SQL, Alteryx, Python, R, ETL/ELT design, data transformation, data validation, and automated analytics workflows.
- BI & Reporting: Power BI, DAX, data modeling.
Preferred Certification
- Power BI Data Analyst Associate, SnowPro, Alteryx Designer, Microsoft AI/Copilot/Power Platform certifications, CIA, or CISA.
Celanese is a global leader in chemistry, producing specialty material solutions used across most major industries and consumer applications. Our businesses use our chemistry, technology and commercial expertise to create value for our customers, employees and shareholders. We support sustainability by responsibly managing the materials we create and growing our portfolio of sustainable products to meet customer and societal demand. We strive to make a positive impact in our communities and to foster inclusivity across our teams. Celanese Corporation employs more than 11,000 employees worldwide with 2024 net sales of $10.3 billion.
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Who's Hiring
- Deloitte19
- Capital One6
- TikTok5
- 4P Consulting5
- Tesla4
Top Industries Hiring
- Technology & Software68
- Consulting & Professional Services46
- Banking & Financial Services32
- Investment & Asset Management27
- Education20
Mid Level Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level data analyst job?
Lead with ownership, not just participation. Highlight projects where you defined the analysis approach, delivered findings to stakeholders, or influenced a business decision on your own. Strong applications show fluency in SQL and at least one visualization tool, a clear sense of your domain, and examples of work you drove rather than supported. Tailor your resume to the specific industry the employer operates in.
Which companies hire mid level data analysts?
Companies hiring mid level data analysts right now include Deloitte, Capital One, and TikTok, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of employers, from large enterprises building out analytics teams to mid-size companies where a data analyst takes on broader scope earlier.
Are there remote mid level data analyst jobs?
Yes, and the share is substantial. About 41% of mid level data analyst openings are remote or hybrid as of August 2026, making this one of the more flexible roles in the data field. Most remote postings still expect strong asynchronous communication and the ability to present findings clearly to distributed stakeholders without in-person support.
How do I move up to a mid level data analyst role?
The shift from entry level to mid level is built over time through deepening ownership. Early-career analysts grow into mid level by moving from executing assigned tasks to defining their own analytical approach, taking full responsibility for a project area, and demonstrating measurable impact on business outcomes. Building fluency in advanced SQL, statistics, or a specialization like product or marketing analytics accelerates the transition.
Which industries hire the most mid level data analysts?
Mid Level data analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. These sectors generate large volumes of operational and customer data that require experienced analysts who can move beyond reporting and surface insights that inform strategy.