Tableau Data Analyst Summer Intern

As a Tableau Data Analyst Summer Intern at Authentic, your primary responsibilities will include performing exploratory data analysis and creating interactive dashboards in Tableau. You'll work with the FP&A team to ensure data integrity, aggregating Salesforce and Excel data into efficient reporting models. You'll create insightful presentations and help identify opportunities for business growth through data-driven decision-making.

To apply for the Tableau Data Analyst Summer Intern position at Authentic, you should be currently enrolled in an undergraduate or master’s program focusing on data or business analytics. Strong knowledge of Microsoft Excel and G Suite is essential, along with experience using Tableau. A background in Salesforce is a plus but not necessary. Exceptional organizational and communication skills are key as well.

Tableau experience is crucial for the Tableau Data Analyst Summer Intern role at Authentic. The company requires candidates to have a solid understanding of Tableau, as you will be expected to create dashboards and utilize Tableau Prep for data aggregation. Applications must include sample Tableau dashboards or previous work to demonstrate proficiency.

As a Tableau Data Analyst Summer Intern at Authentic, you can expect a dynamic and inclusive work environment that fosters creativity and innovation. You'll collaborate with a diverse team of professionals who encourage fresh ideas and perspectives. With the flexibility of remote and on-site work in NYC, this internship provides a balance that nurtures both learning and professional growth.

For the Tableau Data Analyst Summer Intern position at Authentic, a strong familiarity with Microsoft Excel and G Suite is essential. You also need a solid working knowledge of Tableau for dashboard creation and visual data analysis. Experience with Salesforce is advantageous but not mandatory, allowing you to focus on your Tableau and Excel skills.

When discussing your experience with Tableau, focus on specific projects where you've utilized it. Highlight your ability to create dashboards, perform data visualizations, and your understanding of data fetching techniques. Be prepared to share examples of Tableau dashboards you've built and what insights they provided.

To perform exploratory data analysis, I would start by cleaning and preparing the data, checking for inconsistencies and missing values. Then, I would use various statistics and visualizations to identify patterns, trends, and anomalies. Sharing insights and observations with the team is also crucial to inform our data strategy.

Ensuring data integrity requires consistent validation checks and processes. I would implement automated scripts to monitor data incoming from various sources, conduct regular audits, and involve manual reviews when necessary. Communication with the data sources is also key to addressing discrepancies quickly.

I prioritize tasks by assessing urgency and importance. I often create a daily to-do list where I categorize tasks based on deadlines and their impact on the project. Utilizing project management tools like Trello also helps keep track of progress and ensures I stay organized amidst competing priorities.

Communication skills are vital in data analysis as they bridge the gap between data and decision-making. The ability to clearly articulate findings, present data visually through dashboards, and collaborate effectively with team members ensures that data insights drive actionable strategies.

In a past project, I encountered a significant data inconsistency due to data integration issues between two platforms. To resolve this, I first analyzed where the discrepancies were occurring and worked with the data engineering team to fix the data feed. I then created a detailed report highlighting how to prevent similar issues in the future.

When explaining complex data concepts to non-technical stakeholders, I focus on using simple language and relatable examples. Visual aids such as charts and graphs are also helpful to convey key points. The goal is to make the data understandable and actionable without overwhelming them with technical jargon.

The most important aspect of data visualization is clarity. A good visualization should quickly convey the main insights of the data without clutter. It should guide the viewer to understand the story behind the data easily, allowing for well-informed decisions based on it.

Apart from Tableau, I frequently use Excel for initial data manipulation and cleaning due to its powerful functions. I also utilize programming languages like Python or R for more complex analysis tasks, especially for large datasets, where I can use libraries like Pandas and Matplotlib to draw insights.

I am drawn to the Tableau Data Analyst Intern position at Authentic because I admire how the company integrates creativity with data-driven insights. I am eager to contribute my analytical skills in a collaborative setting and learn from industry leaders, particularly in the exciting realm of sports and entertainment.