Middle/Senior Data Analyst (freelance)

As a Middle/Senior Data Analyst at Viseven Group, you will be responsible for collecting and processing data from various sources, analyzing marketing campaigns in the pharmaceutical industry, and presenting actionable insights to clients. Your tasks will include preparing automated reports via PowerPoint and Tableau, conducting ROI analyses, and designing dashboards that effectively communicate complex data in a clear manner.

To excel as a Middle/Senior Data Analyst at Viseven Group, you should have a Bachelor’s degree in a relevant field and a minimum of five years of analytics experience, particularly within healthcare or marketing. Proficiency in Excel and advanced SQL is essential, while familiarity with Tableau and Python will also be advantageous. Strong analytical skills, attention to detail, and effective communication abilities are key to collaborating successfully with both technical and non-technical stakeholders.

In the Middle/Senior Data Analyst position at Viseven Group, you will primarily utilize tools such as Excel for data analysis, PowerPoint for creating professional presentations, and Tableau for reporting and data visualization. Familiarity with AWS for data handling and additional skills in Python or SPSS will further enhance your ability to perform the job effectively.

As a freelance Middle/Senior Data Analyst at Viseven Group, you will be involved in short-term, project-based tasks focusing on analyzing marketing campaign performance for pharmaceutical clients. Your role will include exploring data, generating insights, and collaborating closely with stakeholders to deliver strategic recommendations that aim to optimize marketing efforts.

While having experience in the healthcare industry is a strong plus for the Middle/Senior Data Analyst position at Viseven Group, it is not strictly required. The company values analytical skills, problem-solving abilities, and the capacity to translate data into insights, so relevant analytics experience in other domains may also be considered.

To ensure data accuracy, I follow a rigorous method that includes daily checks and validation processes. This involves cross-referencing data from multiple sources, employing automated scripts for ongoing quality checks, and performing manual spot-checks for reassurance. It’s critical to maintain data integrity in my reports to deliver the highest quality insights to stakeholders.

Certainly! One notable experience was when I analyzed customer engagement metrics for a previous client’s email campaign. By identifying key trends in open and click rates, I recommended targeted adjustments to timing and content. This strategic insight resulted in a marked increase in customer engagement and a 15% boost in conversion rates.

I have extensive experience using Tableau for data visualization and reporting. I often prepare automated dashboards that offer stakeholders a clear overview of campaign performance. My ability to translate complex data into visually appealing charts helps in storytelling and allows for effective communication of findings to both technical and non-technical audiences.

I am quite proficient in writing complex SQL queries, especially for data extraction and manipulation within databases. I frequently write queries to handle JOIN operations to gather data from different tables, aggregate functions for summarization, and subqueries for deriving insights. My comfort with SQL has been instrumental in analyzing large datasets and presenting them comprehensively.

I prioritize tasks based on deadlines and the strategic importance of each analysis. I maintain a clear project management tool to track progress and communicate with stakeholders about timelines. By breaking down larger projects into actionable tasks, I ensure efficiency and transparency throughout the reporting process.

I approach collaboration with both technical and non-technical teams by tailoring my communication style. I strive to present insights in a straightforward manner for non-technical stakeholders while utilizing technical terms when communicating with developers. Building rapport is crucial, and I ensure regular updates to keep all parties informed and engaged throughout the project.

I find methods such as regression analysis, A/B testing, and cohort analysis particularly effective for making data-driven decisions. These techniques allow me to identify correlations between variables, evaluate differences in performance, and understand customer behaviors, leading to insightful and actionable outcomes.

My experience with presenting data insights involves preparing detailed PowerPoint presentations while ensuring that I highlight key findings in a visually compelling manner. I use storytelling techniques to keep clients engaged and make complex data understandable. My goal is to provide actionable recommendations, fostering a collaborative dialogue for strategic direction.

Upon encountering discrepancies in data, my first step is to conduct a thorough investigation to identify the source of the inconsistency. I cross-check with original datasets and previous reports, employing data validation techniques. Once identified, I correct the discrepancy and analyze potential impacts it may have had on reporting or insights shared with stakeholders.

I stay updated with trends in data analysis and healthcare marketing by following industry-leading publications, participating in webinars, and engaging in continuous professional development through online courses. Networking with fellow analysts and joining relevant associations also helps me gain insights into emerging methodologies and best practices.