INSIGHTS ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: Sep 11, 2025 - The Insights Analyst leverages advanced analytics, statistical modeling, and big data tools to uncover insights and guide business strategy. This role requires expertise in Python, SQL, Hadoop (Hive, Impala), PySpark, Tableau, and Azure, with strong skills in experimental design, machine learning, and predictive modeling. The analyst also translates complex data into clear executive-level narratives and collaborates cross-functionally to drive impactful outcomes.
Essential Hard and Soft Skills for a Standout Insights Analyst Resume
- Data Analysis
- A/B Testing
- KPI Reporting
- Dashboard Development
- Power BI
- SQL Scripting
- Statistical Analysis
- Data Visualization
- Predictive Modelling
- Business Intelligence
- Problem Solving
- Stakeholder Communication
- Presentation Skills
- Strategic Thinking
- Insight Generation
- Time Management
- Collaboration Skills
- Attention Detail
- Process Improvement
- Decision Support
Summary of Insights Analyst Knowledge and Qualifications on Resume
1. BS in Statistics with 4 years of Experience
- Previous experience in a data analysis role.
- Experience of manipulating, processing and extracting value from large, disconnected datasets.
- Experience of working in applied analysis, taking an evidence-based approach to help inform, recommend and make decisions.
- Experience designing and developing effective communication and visualisation tools.
- Experience of briefing senior stakeholders effectively and with impact.
- Experience of working with statistical software and/or relational databases.
- Understanding of the education system.
- Understand and comply with procedures and legislation relating to confidentiality and General Data Protection Regulations.
- Deep understanding of the advantages and disadvantages of analytical methods and different ways of presenting data.
- Strong interpersonal skills with the ability to build relationships across a complex organisation.
- Ability to explain complex analysis clearly and coherently to non-technical stakeholders.
2. BA in Economics with 5 years of Experience
- Experience in data analysis with emphasis on digital data.
- Experience working consultatively with non-technical stakeholders and managing workloads independently, in an agile organisation.
- Experience with data visualisation tools such as Tableau, Power BI and Google Data Studio.
- Experience driving insights from data and presenting the findings with recommendations to different sets of stakeholders.
- Excellent communication skills, written and verbal.
- Strong visual presentation skills.
- Ability to think clearly about the underlying business problems and to consultatively recommend data-driven approaches to solving them.
- Highly skilled in writing complex SQL code.
3. BS in Data Science with 8 years of Experience
- Experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
- Experience with Hadoop (Hive, Pig, Impala) or other distributed file systems.
- Knowledge of analytical tools such as Python, PySpark, Jupyter Notebooks, data mining tools such as SQL, and Microsoft applications (SSMS, Azure cloud, Office suite) and Bitbucket.
- Understanding of products and strategies to challenge business cases and analyses.
- In-depth industry knowledge, including current big data trends and challenges globally.
- Strong understanding of test and experimental design (test and learn).
- Sound knowledge of statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.).
- Knowledge of ensemble models (random forest, gradient boosting trees, Bayesian inference etc.).
- Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue.
- Excellent interpersonal and communication skills, both written and verbal.
- Capable of working in and across teams, leading partners and aligning leadership, including proven teamwork and ability to build deep relationships with diverse business partners.
- Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities.
- Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain the business value of projects.
- Ability to translate complex problems and solutions into a simple story, tailored to executive audiences.
- Ability to learn and apply new analytical techniques and adapt to the evolution within the financial services industry.
- Ability to use data visualization and storytelling in Tableau.
- Demonstrated passionate analytical thinker with a track record of delivering business impact and results through developing and executing on innovative analytics solutions.
- Strong ownership mentality, proactive attitude, and ability to get things done.
4. BA in Marketing with 9 years of Experience
- Experience on the client side, consumer insights and marketing research for a major media/entertainment or CPG company.
- Strong understanding of marketing research methods and statistical analysis techniques.
- Demonstrated strong performance in prior roles, with increasing levels of responsibility and independence.
- Exceptional storytelling skills, with the ability to extract, craft, and present narratives using data.
- Excellent written and oral communication and interpersonal skills.
- Distinctive problem-solving and analysis skills and impeccable business judgment.
- Ability to find innovative approaches in implementing research, extracting insights, and linking insights to strategies.
- Ability to think globally/strategically, turn information into effective strategies and drive results.
- Passion for observing trends and behavior.
- Proactive, decisive, and flexible, able to operate in a fast-paced, constantly evolving and collaborative environment.
5. BS in Computer Science with 3 years of Experience
- Experience in analyzing large data sets and generating reports that identify patterns for a music platform.
- Strong quantitative skills, including analytical abilities and math proficiency.
- Strong analytical and problem-solving skills.
- Solid verbal and written communication skills.
- High attention to detail.
- Ability to work well with cross-functional teams, engineers/data scientists who build complex algorithms.
- Ability to work effectively in a team environment with exceptional interpersonal skills.
- Ability to work successfully with teams on multiple projects under tight deadlines.
- Willingness to be proactive in bringing new, innovative ideas to the table.
6. BA in Psychology with 7 years of Experience
- Experience working with customer behaviour data with a proven track record of delivering actionable insights, recommendations and measurable growth.
- Experience with statistical analysis tools (R or Python).
- Experience within the digital media analytics space or e-commerce space.
- Experience with analytics techniques such as customer profiling, predictive modelling, regression and classification analyses, A/B testing, etc.
- Advancements in experimentation, Google Analytics, Tableau and SQL
- Experience with Hadoop (Pig, Hive, and/or Spark/Scala).
- Strong problem-solving, analytical, reporting and visualization skills.
- Excellent communication and interpersonal skills.
- Ability to successfully work and partner across multiple functions in an organisation.
- Ability to clearly define a problem, collating the required information, analyzing the results and synthesizing a compelling argument.
- Ability to tell and translate complex data and insights into a simple narrative.
- Ability to work in an agile and flexible environment where change is a part of the day-to-day environment.