Data analyst

As a Data Analyst at Palta, you'll identify trends and provide insights that influence business decisions. Your responsibilities include creating reports on customer behavior, revenue performance, and campaign success. You will also monitor KPIs, support the team with A/B testing, and improve our analytical infrastructure. Collaborating with development and other departments will ensure effective CRM integrations.

Palta looks for a critical thinker who is quick to learn and can manage various data sources. You'll need technical proficiency in SQL, Python, and BI tools like Looker or Superset, along with strong communication skills for effective collaboration. Experience with subscription-based products is highly desirable.

At Palta, Data Analysts enjoy a competitive salary package, stock options, and flexibility with in-office, hybrid, or remote work. Additional benefits include a relocation package for those moving to Cyprus, essential equipment for work, premium subscriptions for Palta family apps, and 21 days of annual leave plus bank holidays.

The Data Analyst plays a fundamental role in enhancing CRM strategies at Palta by providing valuable data insights that shape customer interactions. You’ll create targeted email marketing strategies to increase subscriber acquisition and financial performance while ensuring our CRM tools are being used effectively.

Palta is a rapidly growing multi-product tech platform with a focus on health and wellness. With a user base reaching over 60 million monthly active users and a strong revenue growth rate, it provides an exciting environment for a Data Analyst to thrive in the tech industry.

In analyzing user data for a health app, I would start by outlining key performance indicators (KPIs) that align with our business goals. Then, I would employ SQL to extract relevant data, and utilize Python for data cleansing and exploration. Observing trends and customer behaviors would enable me to provide actionable insights to enhance user experience and engagement.

In a previous data project, I managed the integration of multiple data sources to analyze customer interaction patterns. My role included data cleaning, hypothesis testing, and collaborating with stakeholders to translate the findings into actionable strategies. Through this process, we successfully improved our marketing tactics, significantly increasing user retention.

Determining the success of a marketing campaign could involve analyzing various KPIs such as conversion rates, customer acquisition costs, and revenue growth. I would use A/B testing to compare campaign performance against control groups, and gather qualitative feedback from users to assess overall satisfaction and impact.

I prefer using Looker and Superset for data visualization due to their user-friendly interfaces and powerful capabilities. These tools allow for real-time data exploration and robust reporting options, which help in presenting data insights effectively to stakeholders, facilitating informed decision-making.

My experience with SQL is extensive. I use it to query databases, extract relevant data for analysis, and perform complex calculations or transformations. This skill enables me to efficiently manage large data sets and focus on extracting valuable insights quickly, contributing significantly to our analytics efforts.

When encountering conflicting data, I approach it methodically. First, I would compare the sources for credibility and accuracy. Then, I analyze the discrepancies and, if necessary, conduct further research or reach out to original data providers to clarify. Ultimately, I seek to synthesize information to present a cohesive view.

To ensure effective team collaboration, I prioritize clear communication and active engagement with team members. I advocate for regular meetings to discuss progress, share insights, and align on goals. Utilizing collaborative tools for documentation, feedback, and project tracking further enhances our workflow and alignment.

Prioritizing tasks involves first understanding the objectives and deadlines associated with the analysis. I typically segment tasks based on impact and urgency, ensuring that high-impact analyses are addressed first. Utilizing project management techniques helps me maintain focus and organize tasks effectively.

I have hands-on experience with A/B testing, where I enable teams to test different variables against a control group to assess effectiveness. Analyzing results involves comparing metrics like conversion rates and statistical significance to ascertain whether the tested variation provided measurable improvements or not.

My motivation as a Data Analyst in the health and wellness sector stems from the impact we can have on people’s lives. The idea of using data to improve health outcomes and supporting individuals in leading healthier lifestyles resonates deeply with me. I find great purpose in delivering insights that lead to positive change.