Mid Level Data Analytics Manager Jobs
Mid level data analytics manager jobs go to analysts ready to own reporting pipelines, guide junior team members, and translate data into decisions without constant oversight. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with a strong mix of remote and hybrid roles, and 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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Find JobsMid Level Data Analytics Manager Job Market
Who's Hiring
- Deloitte19
- Capital One6
- TikTok5
- 4P Consulting5
- Tesla4
Top Industries Hiring
- Technology & Software69
- Consulting & Professional Services46
- Banking & Financial Services33
- Investment & Asset Management27
- Education20
Mid Level Data Analytics Manager Jobs: Frequently Asked Questions
How do I get a mid level data analytics manager job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you led analysis end to end, influenced a business decision, or improved a reporting process. Tailor your resume to show you can manage stakeholder expectations and communicate findings clearly. Employers at this level want evidence of initiative and cross-functional collaboration, so lead with outcomes over responsibilities.
Which companies hire mid level data analytics managers?
Companies hiring mid level data analytics managers right now include Deloitte, Capital One, and TikTok, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers both large enterprises with dedicated analytics teams and mid-size companies building out their data functions for the first time.
Are there remote mid level data analytics manager jobs?
Yes, remote and hybrid options are common at this level. About 41% of mid level data analytics manager openings are remote or hybrid as of August 2026, reflecting how broadly data work has moved away from office-only settings. Fully on-site roles still exist, particularly in regulated industries where data governance requirements are stricter.
How do I move up to a mid level data analytics manager role?
The path from early-career to mid level is built on deepening your technical skills, taking ownership of complete projects, and demonstrating measurable business impact. Focus on becoming proficient with SQL, Python, or BI tools relevant to your industry, then seek out opportunities to lead a workstream or mentor a colleague. Consistent delivery on ambiguous problems signals readiness to step into a mid level scope.
Which industries hire the most mid level data analytics managers?
Mid Level data analytics manager 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, complex datasets that require analytics managers who can move beyond reporting and start shaping how data informs strategy.