Data Anlayst

JOB DESCRIPTION:

Position Title: (Engineer I)- Data Analyst

Location: 100% Remote

Duration: 4 Months CTH (Contracts to Hire)

SKILL MATRIX SHARED BY MANAGER:

Technology

NO Awareness of technology (0)

LITTLE Awareness - read/heard of technology (1)

EXPOSURE to technology in environment (2)

SOME development in technology (3)

Very COMFORTABLE developing in technology (4)

EXPERTISE in technology i.e. could teach a class (5)

Data Analytics

SQL

AWS

Tableau

Excel

ETL

Python

Reporting

Data Validation

About the Opportunity:

As an Engineer I - Data Analyst, you will support day-to-day reporting operations while contributing to ongoing modernization efforts through improved visibility, analytics, and strengthened quality controls. You will work hands-on with operational systems and data to coordinate key milestones, validate outputs, investigate anomalies, and ensure accurate, timely deliverables.

In this role, you will support both internal stakeholders and external clients by enabling secure report delivery, driving timely issue resolution, and maintaining a high standard of service that protects the customer experience.

You will also contribute to improving operational processes by identifying pain points and helping translate them into practical enhancements. This includes standardizing workflows, strengthening monitoring and validation checks, and implementing repeatable automations that reduce manual effort, improve reliability, and accelerate turnaround times.

enterprise.

Must Have:

• AWS exposure
• Data Analytics
• Python
• Reporting
• SQL
• Tableau

Responsibilities:

In this role, you will:

Operational Ownership: Report Delivery (60%)

• Support end-to-end report delivery for a variety of stakeholders, ensuring outputs are accurate, secure, and delivered on time
• Maintain delivery calendars and integrated delivery plans, coordinating milestones, dependencies, and readiness checkpoints across cross-functional teams
• Monitor workflow health and proactively identify risks, escalating issues as needed and contributing to mitigation plans
• Validate data outputs and perform quality checks to ensure consistency and reliability of reporting deliverables

Analysis and Strategic Improvements (20%)

• Review business and technical requirements and provide input into data design, reporting logic, and process improvements
• Analyze data to identify trends, anomalies, and opportunities for operational improvement
• Research, experiment with, and adopt new tools, technologies, and approaches to improve automation, scalability, and efficiency
• Contribute to the development of more standardized, repeatable, and well-documented workflows

Support (20%)

• Troubleshoot data and reporting issues, identifying root causes and supporting resolution
• Fulfill ad hoc data requests and reporting needs for internal and external stakeholders
• Partner with team members to ensure consistent communication and timely support

Qualifications:

• Bachelor s degree in Computer Science, Data Analytics, Engineering, or a related field, or equivalent experience
• 1 2 years of experience in data analysis, reporting, or software/data-related roles (internships and academic projects count)
• Experience working with SQL and Python for data querying and analysis
• Familiarity with data visualization tools such as Tableau
• Experience working with large datasets and performing data validation or quality checks
• Exposure to cloud platforms such as AWS
• Understanding of data modeling, ETL processes, and data warehousing concepts
• Exposure to version control (Git) and collaborative development workflows
• Ability to communicate data insights clearly to both technical and non-technical audiences

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.