BUSINESS INSIGHTS ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Oct 03, 2024 - The Business Insights Analyst leverages advanced expertise in data analytics tools such as SQL, Tableau, R, and Python to derive actionable insights, with a strong foundation in statistical analysis and modeling. Possesses exceptional organizational and communication abilities, adept at managing projects within a team setting or independently, particularly in the sports industry. Brings a global perspective to data interpretation, skilled in engaging across diverse markets and cultural environments

Essential Hard and Soft Skills for a Standout Business Insights Analyst Resume
  • Data Analysis
  • Statistical Analysis
  • SQL
  • Python
  • Tableau
  • Machine Learning
  • Excel
  • Data Modeling
  • R
  • Data Warehousing
  • Problem Solving
  • Communication
  • Attention to Detail
  • Organizational Skills
  • Critical Thinking
  • Adaptability
  • Teamwork
  • Creativity
  • Ethical Judgment
  • Time Management

Summary of Business Insights Analyst Knowledge and Qualifications on Resume

1. BS in Statistics with 6 years of Experience

  • Significant experience in a senior leadership role in Finance, Operations, Business Development, or other related fields
  • Expert working knowledge of SQL, and R to perform data querying, building data models and conducting data analysis.
  • Exceptional visualization skills using Tableau, Qlikview, or other relevant visualisation tools.
  • Exhibits sound business judgment, a proven ability to influence others
  • Strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results
  • Strong written and verbal communication skills, with a track record of presenting to senior management
  • Effective self-starter who excels in a lean and fast-paced organisation
  • Experience as a data analyst with associated modelling and analytics experience
  • Good working knowledge of Python and Java to create applications and programs
  • Good understanding of different types of databases and relevant use cases

2. BS in Data Science with 5 years of Experience

  • Familiarity working with enterprise BI tools such as Birst, Domo, TIBCO Spotfire, Tableau
  • Familiarity working with Power BI with an emphasis on using these tools to tell stories and provide actionable insights
  • Experience with SQL and data modeling (ETL knowledge)
  • Advanced Excel skills with an emphasis on presenting data in a consumable and aesthetically pleasing way
  • Ability to handle multiple projects with changing priorities and meet challenging deadlines in a fast-paced environment
  • Ability to leveraging organizational/project management skills and attention to detail
  • Excellent communication skills in a global multicultural environment
  • Knowledge of Marketing and Sales systems such as Marketo or Salesforce 
  • Experience working within a high-growth, technology company  

3. BS in Computer Science with 6 years of Experience

  • Relevant experience in business intelligence or business analyst roles, including data warehousing and business intelligence tools.
  • Analytical thinker and team player, a self-starter, willing to take responsibility for problem solving.
  • Experience with SQL and manipulating large data sets in a database.
  • Advanced proficiency in Excel (including VBA, Pivot Tables, array functions, Power Pivots, etc.)
  • Demonstrated ability to meet deadlines while managing multiple projects.
  • Excellent communication and presentation skills working with multiple peers and with different levels in the organization.
  • Advanced proficiency in SQL, data modelling, and working with Big Data.
  • Computer programming experience in Python, Ruby, or Java
  • Aptitude to learn new technologies and analytical methodologies relating to business intelligence and data analysis.

4. BA in Economics with 5 years of Experience

  • Data analytics experience
  • High level of flexibility in working in a high-pressure working environment
  • Demonstrated ability to problem solve in unfamiliar territory
  • Able to work fast in small teams but with broad organizational reach
  • Proven track record in executing and delivering projects independently
  • Strong interpersonal skills and ability to influence across several organization levels and several cultures
  • Impact oriented and detail-oriented
  • Advanced knowledge of analytical tools such as PowerBI, Excel, Tableau, and SQL querying on Azure/AWS data platform. 
  • Preferred knowledge of data programming (Python, R)
  • Flair for numbers, strong analytical skills and structured process thinking

5. BA in Business Administration with 3 years of Experience

  • Experience in data analytics, including SQL, Tableau (or similar), and R, and Python.
  • Statistical Analysis and Modeling experience.
  • A highly analytical person with strong problem-solving skills.
  • Exceptional attention to detail and advanced Excel skills.
  • Strong communication and organization skills 
  • Ability to work both independently and in a team environment.
  • Project management experience  
  • Experience within the sports industry  
  • Experience in engaging across markets and cultures

6. BS in Finance with 5 years of Experience

  • Experience in Data Analytics/Data Science
  • Experience in Python /SQL/SAS
  • Machine Learning experience and understanding of different ML methods with proven production track record
  • Automation experience to replace complicated processes with end to end solutions
  • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
  • Demonstrated analytical, modeling and problem solving skills
  • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
  • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
  • Ability to take initiative and work independently under tight timelines
  • Ability to work collaboratively and build relationships

7. BS in Mathematics with 6 years of Experience

  • Experience in an Analytic role with a Financial Institution
  • Highly skilled in the use of statistical programming software including Python, Spark, SAS, SQL and advanced data mining
  • Experience manipulating large volumes of complex data from disparate sources
  • Experience with data visualization tools
  • Ability to understand the relationships between data and activities, draw conclusions and use critical thinking to validate/verify outputs
  • A strong focus on attention to detail to produce high quality, accurate and timely deliverables to meet deadlines
  • Ability to prioritize competing requests / multiple tasks in a deadline driven environment
  • Proven analytical and problem solving skills
  • Strong interpersonal skills, ability to work well in a team environment

8. BS in Information Systems with 5 years of Experience

  • Proficiency in relational databases (Redshift, RDS, SQL Server, MySQL, etc.) and SQL for querying and extracting data.
  • Proficiency in at least programming languages (Python, Java, R, etc.) for data gathering, data cleansing and statistical analysis.
  • Experience in expertise in data visualisation software (QuickSight, Tableau, PowerBI, QlikView, etc.) for effective data presentation.
  • Familiar with the Contact Center function and tools are good to have
  • Strong and effective written and oral communication to clearly convey data findings.
  • Experience working in the Information Technology industry is highly beneficial.
  • Proficiency in different types of databases (relational vs. non-relational, etc.) and relevant use cases.
  • Experience working with Cloud Computing and experience as a Business Analyst.
  • Experience in deploying artificial intelligence/machine learning (AI/ML) models into production.

9. BS in Marketing with 4 years of Experience

  • Experience doing quantitative analysis
  • Intermediate/Advanced SQL proficiency
  • Strong problem-solving skills and attention to detail
  • Ability to work with geographically distributed teams
  • Ability to work with other teams across an organization
  • Strong oral and written communication
  • Experience with data visualization tools
  • Familiarity with web analytics tools
  • Prior Celonis platform experience
  • Excellent verbal and written communication skills

10. BS in Engineering with 4 years of Experience

  • Self-motivated, detail-oriented, learn autonomously, and highly organized
  • Experience working in a fast-paced culture, managing multiple deliverables 
  • Experience with scripting and analysis languages (Python, R)
  • A solid grasp of common statistical methods and applications (A/B testing, probability, regression)
  • Experience in advanced analytic techniques such as text mining, development of predictive models to support customer strategies (eg. sales, service, cross sell, retention, fraud etc.) 
  • Excellent verbal and written communications and presentation skills
  • Understanding/experience in Collections & Recoveries is a strong asset
  • Ability to effectively manage multiple projects and priorities simultaneously
  • Exposure or experience with Big data / Hadoop environment and open source code such as R or Python 

11. BS in Statistics with 5 years of Experience

  • Proven experience in analyzing data from multiple data sources
  • Proven ability to derive actionable business insights from business data
  • Excellent analytical and problem-solving skills and attention to detail
  • Experience developing business data representations for leadership & operational teams
  • Experience with Alteryx, Tableau, or other data analytics tools
  • Project management skills, including the ability to handle multiple projects
  • Experience with Jira, Confluence, or other related tools
  • A strong interpretation of data in dashboards
  • Experience with Google Big Query and Data Studio
  • Knowledge and experience working in Data Ops methodology

12. BS in Data Science with 3 years of Experience

  • Proficiency in SQL for querying and extracting data
  • Proficiency in data cleansing and statistical analysis
  • Creative and analytical thinking to generate interesting approaches to answering business questions
  • Strong and effective written and oral communication to clearly convey data findings
  • Demonstrated ability to communicate concise and valuable business insights through written, verbal
  • Ability to presentation formats to all levels of the organization
  • Excellent SQL skills to query, join, filter, group, and aggregate complex datasets in large relational and non-relational databases
  • Excellent analytical, logical, and organizational skills
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