Data Analyst (Work From Home / Dayshift)

A Data Analyst at Twoconnect is responsible for designing and developing interactive dashboards using Looker Studio, connecting data sources with Supermetrics, and performing data cleaning. They also collaborate closely with marketing teams to ensure reporting needs are met while troubleshooting discrepancies and enhancing data interpretation.

To qualify for the Data Analyst role at Twoconnect, candidates should have proven experience with Looker Studio, strong proficiency in Supermetrics, and hands-on experience with data blending and calculated fields. Additionally, knowledge of Google Sheets or Excel for data preparation is essential, along with strong problem-solving skills and attention to detail.

Data Analysts at Twoconnect typically use Looker Studio for dashboard creation, Supermetrics for connecting data sources, and Google Sheets or Excel for data manipulation and cleaning. Familiarity with marketing analytics platforms like Google Ads and Google Analytics is also beneficial.

Twoconnect fosters a fun, supportive, and inclusive culture for Data Analysts. Employees benefit from HMO and government-mandated benefits, as well as engagement events that promote wellness, self-care, and team bonding, all while enjoying the flexibility of working from home.

A Data Analyst at Twoconnect plays a crucial role in translating raw data into actionable insights that drive marketing strategies. By creating dashboards and reports that visualize marketing performance, they help the team identify trends, optimize campaigns, and ultimately improve decision-making.

In discussing your experience with Looker Studio, emphasize specific projects where you created dashboards that effectively visualized data. Highlight any advanced features you implemented and the positive impact those dashboards had on decision-making processes.

To ensure data accuracy when using Supermetrics, detail your process for verifying data connections, performing data cleaning, and running checks on data sources before producing reports. It's important to demonstrate a systematic approach to maintaining data integrity.

Discuss specific techniques you've utilized for data blending, such as merging datasets from different platforms to create a unified view of marketing performance. Highlight examples of successful analysis where blending revealed actionable insights.

Share a specific instance where you identified and resolved a data discrepancy. Explain the steps you took to analyze the situation, what you discovered, and how you communicated your findings to the relevant teams.

Outline the steps you would take to gather the requirements for the new marketing campaign dashboard, such as meeting with stakeholders to understand their needs, determining the key metrics to track, and ensuring you set up data connections accurately from the outset.

Explain that data manipulation is critical for preparing raw data to ensure it is clean, consistent, and ready for analysis. Discuss the tools you use, such as Google Sheets or Excel, and share examples of how this work has improved data quality in your analyses.

Describe your approach to prioritization, perhaps mentioning the importance of deadlines, impact on business decisions, and communication with team members to ensure alignment on the most pressing projects.

Share a specific example where your data analysis directly impacted a marketing decision. Highlight the insights you provided, the data sources you utilized, and the results achieved as a result of your recommendations.

Discuss your preferred tools for data cleaning, such as Google Sheets and Excel, emphasizing their advantages regarding functionality, ease of use, and the specific tasks you find them most effective for.

Explain your strategy for staying current with the latest trends, such as following industry blogs, participating in webinars, joining relevant professional groups, and engaging with your network to share knowledge on best practices and new tools.