BUSINESS INSIGHTS ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

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 .. 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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