Job Description

We are seeking a talented Domain Data Analyst who will bridge the gap between data analysis and business needs while ensuring the integrity and quality of our data.

Job Responsibilities

Data Analysis:

+ Proven experience in data analysis and delivery of a portfolio of data products (e.g, dashboards, reports, predictive models, data models).
+ Analyze and interpret complex domain-specific data sets to identify trends, patterns, and insights that drive business decisions.
+ Collaborate with cross functional teams to design, build, and implement data products
+ Present findings and insights to both technical and non-technical audiences in a clear and concise manner.
+ Prepare cleanse and validate data to ensure consistency, accuracy and reliability for analysis and reporting
+ Document system data flows, data model transformation and architecture, establish technical data dictionaries and access controls

Business Analysis:

+ Collaborate with business units to comprehend their data needs and deliver solutions that address those requirements.
+ Facilitate workshops and meetings to gather requirements
+ Support project management tasks by providing data-related expertise and guidance.

Collaboration and Communication:

+ Work closely with technology and business departments to ensure seamless data flow and access.
+ Provide training and support to team members on best practices and tools
+ Communicate complex data concepts to non-technical stakeholders effectively.

Job Requirements

Bachelor's degree in Data Science, Business Analytics, Information Technology, or a related field Min 8 years of experience in data analysis with a focus within finance domain. Proficiency in data analysis tools and programming languages such as SQL, Python, or R. Experience with data visualization tools (e.g., Tableau, Power BI, or similar). Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy). Understanding of data warehousing and ETL processes. Knowledge of data analysis and data modelling techniques Excellent analytical, problem-solving, and critical-thinking skills. Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. Exceptional attention to detail and a commitment to data accuracy and quality.

Preferred Skills

Familiarity with product management methodologies and agile development practices is a plus. Experience in Collibra is a plus Understanding of data stewardship principles and data governance frameworks. Knowledge in Financial Accounting, Management Accounting & Regulatory Reporting, Risk Management, Capital / Profitability Management would be a plus. * Certifications such as CDMP is a plus.