data modeling. Hands-on experience with ETL tools (Apache Nifi, Talend, DBT, Airflow, Fivetran, etc.). Experience with data visualization tools (Tableau, Power BI, Looker). Proficiency in Python, R, or Scala for data manipulation and analytics. Experience with cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, Azure Synapse). More ❯
ETL processes. Experience or interest in data collection for evaluation. In addition, the following could be an advantage: Experience with data visualization tools (Tableau, Looker, Power BI). Experience with cloud-based data platforms (especially Google Cloud Platform). Experience with data warehousing tools and techniques. Familiarity with data governance More ❯
Previous experience leading data engineering efforts within the gaming industry or other fast-paced, data-driven environments. Experience in data visualization tools (e.g., Tableau, Looker, Power BI) and the ability to interpret and present complex data insights in a user-friendly way. Experience working on projects that involve real-time More ❯
For Strong technical skills – Proficiency in SQL, Python, and cloud data platforms (AWS, GCP, Snowflake, or similar). BI & visualisation expertise – Experience with Tableau, Looker, Power BI , or similar tools. Data engineering background – Understanding of ETL processes, automation, and scalable data architecture . Analytical mindset – Ability to translate complex data More ❯
For Strong technical skills – Proficiency in SQL, Python, and cloud data platforms (AWS, GCP, Snowflake, or similar). BI & visualisation expertise – Experience with Tableau, Looker, Power BI , or similar tools. Data engineering background – Understanding of ETL processes, automation, and scalable data architecture . Analytical mindset – Ability to translate complex data More ❯
AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a More ❯
a plus). Are comfortable working with large datasets and using statistical methods to generate actionable insights. Have experience with data visualization tools (e.g., Looker, Tableau, Mode, or similar). Possess excellent communication skills and can work effectively with both technical and non-technical stakeholders . Enjoy problem-solving and More ❯
and serialization formats Experience with big-data technologies (e.g. Spark, Kafka, Hive) Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau) Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc. Proficiency with Git (or similar version control) and CI/CD More ❯
RESPONSIBILITIES: As a Lead Data Analyst , you will: Conduct data audits, develop strategies , and ensure data quality. Build, deploy, and manage Power BI/Looker dashboards . Work with SQL, Python, and cloud platforms (GCP, Azure) . Create a single customer view and deliver insight-driven reports . Engage with More ❯
RESPONSIBILITIES: As a Lead Data Analyst , you will: Conduct data audits, develop strategies , and ensure data quality. Build, deploy, and manage Power BI/Looker dashboards . Work with SQL, Python, and cloud platforms (GCP, Azure) . Create a single customer view and deliver insight-driven reports . Engage with More ❯
proficiency in SQL Confident with Google Sheets/Excel Able to create high quality dashboards with data visualization tools like Tableau/PowerBI/Looker Hands-on experience in building data models with data transformation tools like Dataform/dbt Ability to work in a fast-paced, collaborative environment and More ❯
and Python, data modeling and engineering, applied statistics (e.g., hypothesis testing, regression analysis), and hands-on experience with BI tools (e.g., Tableau, Power BI, Looker). Experience with financial modeling and forecasting, preferably within a high-growth SaaS environment. Additional Information Hybrid Working Model: All of our offices globally are More ❯
efficient data models. Solid understanding of data warehouse design principles. Great attention to detail. Experience with data visualization tools (e.g., Thoughtspot, Power BI, Tableau, Looker, QuickSight). Ability to generate simple but insightful visualizations for non-technical audiences. Good understanding of Git. Experience working with data engineering teams to deliver More ❯
AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a More ❯
data culture across the company, through relevant frameworks, processes, and training. Your experience, skills and knowledge Essential Experience working with BI reporting tools (Tableau, Looker, PowerBI). SQL knowledge and experience working with relational databases as well as familiarity with a variety of databases. Data warehousing experience (knowledge of and More ❯
industry trends to continuously improve development practices. Qualifications: 7+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, PowerBI, Looker, etc. Capacity to work within complex systems and large data sets via SQL or Python Entrepreneurial attitude and ability to quickly adapt to new technologies More ❯
marketing attribution models , demonstrating how different models can impact the perceived value of marketing channels. Hands-on experience with data visualization tools such as Looker Studio or Power BI. Skilled in building data analytics solutions using programming languages like Python or R. Experience with cloud platform data analytics stacks , such More ❯
strong data culture across the company, through relevant frameworks, processes, and training. Your experience, skills and knowledge Experience working with BI reporting tools (Tableau, Looker, PowerBI). SQL knowledge and experience working with relational databases as well as familiarity with a variety of databases. Data warehousing experience (knowledge of and More ❯
or manufacturing/distribution of packaged goods. Experience with modern reporting and analytics technologies and platforms (Snowflake, Google BigQuery, Python, Airflow, Power BI, MicroStrategy, Looker). Enjoys learning new technologies and partnering with development teams to implement. Ability to effectively collaborate with teams across multiple time zones. More ❯
projects. Excellent client-facing communication skills. Nice to Have: Knowledge of dbt, Airflow, and CI/CD pipelines. Experience with dashboard solutions such as Looker, PowerBI, etc. Experience with marketing platforms and understanding of marketing data. Pre-sales scoping experience and the ability to contribute to the sales process. If More ❯
widely-accessible write-ups. Essential Qualifications: SQL for interacting with our Data Warehouse. Python for analysis and visualisation. Data visualisation tools (Tableau, Power BI, Looker). Problem-solving & critical thinking. Desirable Qualifications: dbt for data modelling. Advanced dashboarding skills. Project management. Why join YouLend? Award-Winning Workplace: YouLend has been More ❯
years of experience in business intelligence, data analytics, or strategy, preferably within digital, e-commerce, or B2B environments. Proficiency in BI tools (e.g., Tableau, Looker, Power BI) and strong SQL skills for data extraction, transformation, and reporting. Foundational knowledge of ETL processes and data warehousing (e.g., BigQuery, Snowflake, AWS) to More ❯
projects. Excellent client-facing communication skills. Nice to Have: Knowledge of dbt, Airflow, and CI/CD pipelines. Experience with dashboard solutions such as Looker, PowerBI, etc. Experience with marketing platforms and understanding of marketing data. Pre-sales scoping experience and the ability to contribute to the sales process. If More ❯
or manufacturing/distribution of packaged media. Experience with modern reporting and analytics technologies and platforms (Snowflake, Google BigQuery, Python, Airflow, Power BI, MicroStrategy, Looker). Enjoys learning new technologies and partnering with development teams to implement solutions. Ability to effectively collaborate with teams across multiple time zones. #J More ❯
Strong background with marketing performance metrics, attribution modeling, and campaign analytics. Strong understanding of data visualization, business intelligence (BI), and analytics tools (e.g., Tableau, Looker, Power BI, Google Analytics, or similar). Proficiency in SQL, data modeling, and working with data pipelines is a plus. Excellent stakeholder management skills, with More ❯
