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Senior Data Analyst - W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Analyst position, remote, on a long-term W2 contract. Key skills include SQL, Hadoop, Microsoft Azure, and experience with InfoLease and Salesforce. Strong analytical abilities and excellent communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 1, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Norwalk, CT
🧠 - Skills detailed
#Azure #Data Lake #Data Security #Data Profiling #Workday #"ETL (Extract #Transform #Load)" #Data Analysis #Compliance #SQL (Structured Query Language) #Data Integration #Hadoop #Data Warehouse #Security #Microsoft Azure #Data Quality #Data Accuracy
Role description
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Hi All,

Hope you are doing well

Job Title: Data Analyst

Location: Remote

Duration: Long-term

Tax-Term: W2

Client: Value momentum

Job Description:

The candidate needs to have excellent communication skills but verbal and written. Will need to have experience in our business and having experience in InfoLease and Salesforce is desired. Experience with any of the following systems is a plus: LeasePlus, ProfitStars, Visions, Stucky, Workday Financials.

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.

The individual in this position is tasked with putting business requirements into technical specifications as a driver for developing a flexible, enterprise-level environment that integrates multiple warehouses to guarantee precise, comprehensive, consistent, and timely data. Their primary goal is to create a cohesive system that fulfills these demands while catering to diverse business requirements.

The role necessitates the capacity to explore and grasp emerging technologies while collaborating closely with peer teams to establish strategic roadmaps and priorities. The ability to swiftly acquire and proficiently apply hands-on administration skills is essential. As a Subject Matter Expert in technical requirements, this position will play a crucial role in supporting and implementing data projects, as well as engaging effectively with users and other IT staff.

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:

Key Technical Knowledge, Skills, and Abilities:

   • Excellent problem-solving abilities and attention to detail.

   • Strong analytical and SQL skills

   • Experience in Hadoop and Microsoft Azure

   • Experience in InfoLease and Salesforce is desired.

   • Experience with any of the following systems is a plus: 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.