Business Analyst
15 May 2024
Join Our Dynamic Team
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
65 / 100
Offer value
Moderate value due to a focus on data analytics but vague compensation expectations.
- Engage in innovative data projects
- Enhance skills in data analysis and governance
- Opportunities for career growth in an analytical role
Pros
- Engagement in a variety of analytical projects.
- Opportunities to work with cross-functional teams.
- Scope for developing data governance skills.
Cons
- Lack of clarity on compensation and role expectations.
- May require navigating complex datasets.
- High operational demand in a potentially fast-paced setting.
Who it's for
Entry to Mid-level • On-site
Good fit
- Entry to mid-level analysts with a focus on data
- Individuals who thrive in collaborative environments
- Candidates eager to learn and grow in analytics
Not recommended for
- Those with no experience in data handling
- Candidates seeking rigid structure in roles
- Individuals uncomfortable with a data-focused environment
Motivation fit
Interest in enhancing organizational efficiency through analytics.Desire to work on diverse projects with a strong data focus.Willingness to engage in cross-departmental collaboration.
Key skills
Analytical problem-solvingData visualizationStakeholder collaborationData governance
Score: 65/100 AI verified analysis
About the job
We are hiring talented business analysts with strong business acumen, organizational abilities, and analytical skills to enhance our organizational efficiency and value.
Job Description:
- Collaborate with cross-functional teams.
- Deliver impactful insights through reports and dashboard projects.
- Partner with stakeholders to gather and understand business requirements.
- Translate business requirements into clear and concise analytics solutions.
- Prepare Data Exchange Agreements (DEA) to govern data sharing between internal and external parties.
- Conduct in-depth data analysis to identify trends, patterns, and anomalies.
- Support data engineering teams by articulating precise data requirements and standards.
- Advocate for robust data quality and governance to maintain high data integrity.
- Develop data dictionaries and conduct root cause analyses to solve data discrepancies.
- Remain current with analytics, business intelligence trends, and best practices.
Skills and Experience Required:
- Education: Bachelor's or Master's degree in Engineering, Computer Science, or related fields.
- Strong multitasking and prioritization skills.
- Creative problem-solving abilities.
- Track record of delivering successful analytics projects.
- Proficiency in analytics tools such as SQL or similar.
- Familiarity with data visualization tools like Power BI.
- Understanding of data engineering tools such as Snowflake.
- Experience with dashboard design and development is advantageous.
