Technical Business Data Analyst
Technical Business Data Analyst
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Job Description
Client Name: Steven Douglas
End Client Name: Mayfair Capital
Job Title: Technical Business Data Analyst (Azure Data / Capital Markets / Hedge Fund)
Location: Dallas TX
Work Type: Hybrid (3 days a week onsite)
Job Type: Contract (1 year)
Rate: $70/hr on w2 (Flexible)
Updated LinkedIn is a must
Notes:
- Candidates must be LOCAL to Dallas TX NO RELOCATION considered
- Final round is onsite in Dallas in-person interview is mandatory
- Excellent communication skills are a MUST (8/10 or above) Manager passed on previous candidates due to weak comms
- H1 accepted; No OPT
- Must have long projects / good tenure
- Must provide state-issued ID (no utility bills) as proof of local status
- Moving fast Position is wide open again due to one no-show and one rejection
- Please screen communication skills thoroughly (no soft talkers)
- Submit even if over target rate client is open for the right candidate
- Certifications strongly preferred
THIS POSITION IS WIDE OPEN. ONE CANDIDATE DID NOT PASS THE INTERVIEW AND ONE DID NOT SHOW UP FOR THE FINAL IN PERSON INTERVIEW. CANDIDATES WILL NEED TO DO A FINAL IN PERSON INTERVIEW ONSITE IN DALLAS. MUST HAVE EXCELLENT COMMUNICATION SKILLS.
THE MANAGER HAS PASSED ON SUBMITTED CANDIDATES DUE TO COMMUNICATION SKILLS. *** PLEASE HELP ME SCREEN FOR COMMUNICATION SKILLS AND WEED OUT CANDIDATES WHO ARE SOFT TALKERS OR ARE NOT AT LEAST (8/10) COMMUNICATION SKILLS.
UPDATE Moving Fast!! THIS POSITION IS BACK OPEN*** We need: THE MANGER WOULD LIKE TO SEE MORE SENIOR CANDIDATES FOR THIS ROLE. A senior (10 years) Technical Business analyst with experience supporting Data Warehouse and Azure Data in a Capital Markets enterprise. Candidates need to have an excellent understanding of Data Warehouse process and the entire Azure Data suite as well as SQL and ETL. THE CLIENT WOULD LIKE TO SEE CERTIFICATIONS. NO RELOCATION CONSIDERED
****CANDIDATES MUST HAVE RECENT CAPITAL MARKETS/BANKING/TRADING AND/OR HEDGE FUND EXPERIENCE AND EXCELLENT COMMUNICATION SKILLS. HOT & MOVING FAST!!
**Candidates must have Long Projects/Good Tenure Excellent communication skills and a State issued ID (Not Bills) showing they are Local.
*** Candidate Must Haves on a resume and for submittal:
1. How many years working with: Technical Data Business Analyst
2. How many years working with: Data Warehouse
3. How many years working with: Azure Databricks (highlighted expertise) Logic Apps - Ect
4. How many years working with: SQL and ETL
5. How many years working with: Capital Markets/Hedge Funds/BANKING
*** Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.
Full Name:
Rate:
Location:
Availability to Interview: One Days notice
Availability to Start:
Email Address:
Phone Number:
Visa Status:
Education - College/Year of graduation:
Link to LinkedIn
Certifications (Please list)
Job Description:
Technical Business Analyst
Education:
- Bachelors degree in Computer Science Information Technology Business Administration or a related field.
- Advanced certifications in data analytics and business analysis are a plus.
Technical Skills:
- Data Warehouse Expertise:
- In-depth knowledge of data warehouse core concepts including data architecture data integration and data governance.
- Strong understanding of logical data modeling and relational database design.
- Query Writing:
- Proficiency in writing SQL queries for data extraction analysis and reporting.
- Azure Services:
- Experience working with Azure cloud services including (preferred but not mandatory):
- Azure SQL Server
- Azure Data Factory (ADF)
- Azure Databricks.
- Experience working with Azure cloud services including (preferred but not mandatory):
- Tools & Technologies:
- Familiarity with ETL tools like SSIS.
- Exposure to data visualization tools such as Power BI or Tableau.
- Industry Knowledge:
- Prior experience in the financial industry is a strong advantage with knowledge of financial data structures and reporting requirements.
Soft Skills:
- Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
- Excellent communication and interpersonal skills to collaborate effectively with technical teams and business stakeholders.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Attention to detail and a commitment to delivering high-quality work.
Responsibilities:
- Requirements Gathering:
- Collaborate with business stakeholders to gather and document requirements for data engineering projects.
- Translate business needs into technical specifications for data pipelines data models and reporting solutions.
- Data Analysis:
- Analyze large datasets to identify trends patterns and insights that support business decision-making.
- Write and optimize SQL queries to extract and manipulate data for analysis.
- Data Modeling:
- Design and maintain logical data models to support data warehouse architecture and reporting needs.
- Collaboration with Data Engineers:
- Work closely with senior and junior data engineers to ensure data pipelines and ETL processes align with business requirements.
- Provide input on database schema design and optimization.
- Azure Services Utilization:
- Leverage Azure cloud services to support data integration storage and analytics workflows.
- Collaborate on projects involving Azure Data Factory Azure SQL Server and Databricks.
- Documentation:
- Create and maintain comprehensive documentation for business requirements data models and technical workflows.
- Financial Industry Insights:
- Apply knowledge of financial data structures and reporting standards to ensure compliance and accuracy in data solutions.
- Technology Evaluation:
- Stay updated with emerging technologies and best practices in data analysis and business intelligence.
- Recommend new tools and technologies to improve efficiency and scalability.
Employment Type
Full-time
