Data Analyst / Data Scientist (Data Product & Research Team)
Job Description
Hi there!
We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance. This is our role Data Analyst / Data Scientist for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic
Tasks in the role- Manage complex analytical projects from initiation and root business problem formulation to final implementation and adoption into the business process
- Collaborate with cross-functional teams and stakeholders to ensure the successful implementation of analytical projects
- Develop, deploy, and maintain statistical and ML models, data mining algorithms, or other advanced analytical solutions to solve business challenges
- Perform data preprocessing, feature engineering, and data wrangling tasks, ensuring data quality and integrity
- Create and maintain data visualizations and reports to communicate results effectively
- Design and control the execution of A/B tests and experiments to check hypotheses and ensure the added value of developed analytical solutions
- Communicate analytical results to stakeholders and colleagues in a clear and understandable manner
- Drive effective knowledge transfer within the company's data analytics community through technical demos, knowledge-sharing sessions, and building the knowledge base
- Stay at the forefront of emerging data analytics technologies and trends
Requirements
Who we are looking for- Bachelor's degree in STEM, Economics, Business Analysis, or a related field is preferred
- Solid foundation in math, probability theory, and statistics
- 3+ years of experience in data analysis, data science, or a related field
- Proficiency in SQL and relational databases
- Proficiency in Python including advanced data manipulation, visualization, and modeling
- Proficiency in Machine Learning (ML)
- Strong analytical and problem-solving skills
- Strong communication and interpersonal skills
- Familiarity with airflow, DBT, git, and cloud-based platforms (GCP)
- Experience in mentoring and guiding data analysts
- Experience in managing complex data analytics projects
- You used BigQuery ML in practice
- Proficiency in data visualization and BI (Tableau)
- You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better
- It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both.
- Flexible working day start
- Unlimited PTO
- Hobby benefit
- Breakfast, snacks, and coffee at the office
- Corporate events
- Training, courses, conferences
- Gifts for employees
Finally, a little more about our company
Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.
We’ve been developing our product for 16 years and have been awarded G2s Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.
10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,000 people around the world are working on its development. The Semrush team is constantly growing.
Our new colleague, we are waiting for you!
Semrush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.All employment decisions are based on business needs, job requirements, merit, and individual qualifications.