SENIOR DATA CONSULTANT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 19, 2025 - The Senior Data Consultant specializes in data analysis, integration, and visualization for financial services. Demonstrates proficiency in SQL, Tableau, and Power BI, driving complex data projects from strategy through to implementation and governance. Manages multiple projects effectively, aligning client expectations and leading cross-functional teams to meet critical deadlines.
Essential Hard and Soft Skills for a Standout Senior Data Consultant Resume
- Data Analysis
- SQL Proficiency
- Data Modeling
- Data Visualization
- Tableau Expertise
- Power BI Proficiency
- Data Integration
- Performance Tuning
- Data Warehousing
- Business Intelligence Development.
- Problem Solving
- Strategic Thinking
- Effective Communication
- Project Management
- Client Relations
- Adaptability
- Leadership
- Time Management
- Team Collaboration
- Attention to Detail.
Summary of Senior Data Consultant Knowledge and Qualifications on Resume
1. BA in Data Science with 5 years of Experience
- Experience with data analysis, data integration, and data visualization projects with financial services institutions
- Foundational knowledge of data structures, algorithms, data modeling, data analytics, and problem-solving skills
- Experience in writing SQL queries to perform complex database operations including performance tuning and stored procedures
- Experience with data visualization tools such as Tableau and Power BI
- Experience in working on data projects related to one or more of the following: data quality/data governance assessments, data strategy, requirements scoping, fit-gap analysis, and data warehouse architecture design and implementation
- Experience in working as a business analyst to develop business requirements, source to target mapping, and user testing scripts
- Implementation experience of multiple full life-cycle data management implementations
- Capable of balancing multiple projects and meeting deadlines, with strong ability to properly delegate
- Ability to manage client expectations, and work with cross-functional teams
- Past experience working at a technology/BI consulting services firm for banking clients
2. BA in Computer Science with 4 years of Experience
- Experience as a data analyst or data engineer working with Big Data
- Experience leading projects and mentoring junior data professionals
- Experience preparing data, building data models, and visualizations to drive insights
- Ability to build databases and data warehouses
- Must have excellent SQL and Python skills
- Experience using Spark, Tableau, and relational databases such as MySQL, PostgreSQL, etc.
- Ability to effectively communicate to technical and non-technical audiences
- Consulting background
- Experience in core banking platforms (deposit systems, lending systems, payment systems, etc.)
- Experience with data mapping and ETL engagements for Anti-Money Laundering/Transaction monitoring system implementations, customer relationship management (CRM), credit and customer data management and master data management project
3. BA in Business Analytics with 6 years of Experience
- Experience in translating business requirements into technical specifications in customer facing roles
- Expertise in querying SQL Databases using T-SQL
- Commercial experience in building ETL processes using SSIS and/or Azure Data Factory
- Experience in building and maintaining Data Warehouses
- Experience of Data Modelling and tabular cubes
- An interest in or experience with using Power BI
- An interest in becoming a data expert using Azure, Data Lakes, R/Python, Databricks
- An interest in working towards becoming an MVP
- Experience in working with Microsoft Azure
- Strong written and verbal communication skills with the ability to present to senior leaders