Data Analyst

Essential Duties and Responsibilities:

The responsibility of Data Analyst encompasses the requirements and analysis of data within the Data Warehouse environment that underpin the vital business requirements of MHCCNA.

Responsibilies:

The Data Analyst responsibilities include:

• Perform in-depth data analysis to provide actionable insights that inform business strategies.
• Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate data issues.
• Collaborate with stakeholders and cross-functional teams to identify and prioritize analytical needs, translating business requirements into comprehensive technical specifications.
• Utilize advanced analytic techniques to uncover patterns and trends.
• Present findings and recommendations to both technical and non-technical audiences.
• Drive data accuracy and integrity by uncovering data quality issues and working with peers and peer teams on resolution.
• Provide mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving.
• Ensuring data security and compliance with relevant regulations and best practices in all data operations.
• Provide assistance in troubleshooting and resolving data and system issues, stepping in when necessary to address outages and challenges.

Qualifications/Competencies:

• Excellent problem-solving abilities and attention to detail.
• Strong analytical and SQL skills
• Experience in InfoLease and Salesforce.
• Experience with any of the following systems : LeasePlus, ProfitStars, Visions, Stucky, Workday Financials.
• Proven ability to work collaboratively in a team-oriented environment.
• Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
• Excellent communication skills, with the ability to influence and engage both technical and non-technical audiences.
• Exhibit a thorough understanding of Data Lake architecture, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
• Experience working with data integration techniques & self-service data preparation.
• Experience in requirements analysis, design, and prototyping.
• Demonstrated experience of turning business use cases and requirements into technical solutions.
• Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.
• Strong collaboration and experience working with remote teams.
• Strong problem-solving skills.
• Showcase excellent communication and presentation skills for effective collaboration with technical and non-technical stakeholders.
• Strong analytical skills and a drive to learn and master new technologies and techniques.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Essential Duties and Responsibilities:

The responsibility of Data Analyst encompasses the requirements and analysis of data within the Data Warehouse environment that underpin the vital business requirements of MHCCNA.

Responsibilies:

The Data Analyst responsibilities include:

• Perform in-depth data analysis to provide actionable insights that inform business strategies.
• Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate data issues.
• Collaborate with stakeholders and cross-functional teams to identify and prioritize analytical needs, translating business requirements into comprehensive technical specifications.
• Utilize advanced analytic techniques to uncover patterns and trends.
• Present findings and recommendations to both technical and non-technical audiences.
• Drive data accuracy and integrity by uncovering data quality issues and working with peers and peer teams on resolution.
• Provide mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving.
• Ensuring data security and compliance with relevant regulations and best practices in all data operations.
• Provide assistance in troubleshooting and resolving data and system issues, stepping in when necessary to address outages and challenges.

Qualifications/Competencies:

• Excellent problem-solving abilities and attention to detail.
• Strong analytical and SQL skills
• Experience in InfoLease and Salesforce.
• Experience with any of the following systems : LeasePlus, ProfitStars, Visions, Stucky, Workday Financials.
• Proven ability to work collaboratively in a team-oriented environment.
• Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
• Excellent communication skills, with the ability to influence and engage both technical and non-technical audiences.
• Exhibit a thorough understanding of Data Lake architecture, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
• Experience working with data integration techniques & self-service data preparation.
• Experience in requirements analysis, design, and prototyping.
• Demonstrated experience of turning business use cases and requirements into technical solutions.
• Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.
• Strong collaboration and experience working with remote teams.
• Strong problem-solving skills.
• Showcase excellent communication and presentation skills for effective collaboration with technical and non-technical stakeholders.
• Strong analytical skills and a drive to learn and master new technologies and techniques.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.