Insights Analyst

Data & Analytics

Job Family

US$80K

Average Salary

12%

Job Growth

Insights Analysts are pivotal in transforming data into strategic insights that guide business decisions. Their role involves a deep understanding of data analysis techniques, statistical modeling, and effective communication of findings to stakeholders. By utilizing their expertise in chart interpretation, statistics, data literacy, SQL, data analysis, analytics programming, and reports & visualizations, Insights Analysts ensure that organizations can harness the power of their data.

What are the main tasks and responsibilities of an Insights Analyst?

An Insights Analyst typically undertakes a variety of responsibilities, including:

Data Interpretation: Analyzing and interpreting complex datasets to identify trends, patterns, and correlations that can inform business strategies.
Statistical Analysis: Employing statistical methods to validate findings and support data-driven conclusions.
Data Visualization: Creating compelling visual representations of data to communicate insights effectively to stakeholders.
Report Generation: Compiling comprehensive reports that summarize analytical findings and provide actionable recommendations.
Collaboration: Working closely with cross-functional teams to understand data needs and ensure insights align with business objectives.
Data Literacy Promotion: Enhancing the organization's overall data literacy by providing training and support to team members in understanding data concepts.
Continuous Improvement: Staying updated with the latest analytical tools and methodologies to enhance the quality and impact of insights generated.

What are the core requirements of an Insights Analyst?

To excel as an Insights Analyst, candidates should possess a combination of educational background, technical skills, and analytical abilities. Key requirements include:

Educational Background: A bachelor’s degree in data science, statistics, mathematics, business analytics, or a related field.
Technical Proficiency: Strong skills in SQL for data querying, along with proficiency in data analysis tools and programming languages such as Python or R.
Data Analysis Skills: Ability to analyze and interpret data, utilizing statistical techniques to draw meaningful insights.
Data Visualization Expertise: Proficiency in creating visualizations using tools like Tableau or Power BI to effectively communicate data narratives.
Chart Interpretation: Strong skills in interpreting charts and other visual data representations to extract insights.
Attention to Detail: A keen eye for detail to ensure the accuracy and reliability of analyses and reports.
Communication Skills: Excellent verbal and written communication skills to present findings to non-technical stakeholders clearly.
Analytical Thinking: Strong analytical problem-solving skills to tackle complex data challenges and derive actionable insights.
Collaboration: Ability to work collaboratively with cross-functional teams to ensure data insights are integrated into business strategies.
Eagerness to Learn: A commitment to continuous learning and professional development in the evolving field of data analytics.

Insights Analysts are crucial for organizations looking to leverage data for strategic advantage. Their ability to transform data into actionable insights positions them as key contributors to business success. Are you ready to enhance your team with a skilled Insights Analyst? sign up today to create an assessment that identifies the right candidate for your organization.

Discover how Alooba can help identify the best Insights Analysts for your team

Insights Analyst Levels

Insights Analyst (Mid-Level)

An Insights Analyst (Mid-Level) is a proficient data professional who leverages data analysis and visualization skills to uncover trends and insights that inform strategic business decisions. They work collaboratively with cross-functional teams to translate complex data into actionable recommendations, enhancing the organization's data-driven culture.

Common Insights Analyst Required Skills

Analytics Programming

Chart Interpretation

Data Analysis

Data Literacy

Reports & Visualisations SQL

SQL

Statistics

Over 200,000 Candidates Can't Be Wrong

Overall, I found the test platform to be very user-friendly and well-designed. It provided a smooth and efficient experience throughout the assessment.

Rahul

Marketing candidate at global travel enterprise

This is a great test experience that I've not come across before. It has inspired me to brush up on my analytical skills whether or not I'd be offered this role. I'd like to thank the team for this setup and for the time and consideration.

Lee Yee

Senior marketing candidate at leading online travel enterprise

That was definitely my first time ever being interviewed for skill assessment with the Alooba platform. Great experience and the value bestowed through such means is utterly respected on my behalf! I believe such online assessments should become more and more ubiquitous.

Yoav

Senior strategy manager candidate at global travel giant

The test was conducted in all fairness and without any prejudice. It was very well set and the difficulty levels were well measured. I would like to take this opportunity to thank/congratulate the team for the methodology in conducting the test.

Hansel

Analytics candidate for Asian enterprise

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)