Reference: ITE005820-TMo-1 Business Intelligence with a keen interest in self-development and on the lookout for a new opportunity in a high growth environment this is for you. Job & Company Description: The Business Intelligence position is at a telecommunication company that as numerous years
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
ITE005822-TMo-1 Looking for a brilliant and inspiring Data Analyst to work in a high tempo and demanding environment / Auditing / Data Science as majors) Job Experience & Skills Required: 5 years data analytics experience regarding, Excel, SQL, Power BI Experience in data auditing/process auditing through data analytics. Management/Review
Reference: NWA003395-BOM-1 Are you a Data Analyst looking for an opportunity in the fintech space? This Required: Experience in Financial Services Power BI SQL Azure security and network mapping System support visualizations, SSIS packages, and dashboards Proficient in data analysis and implementing marketing techniques and
is looking to employ new member of the Data team as a Junior Data Scientist to help execute the credit as well as problem solving aptitude Proficient in data analysis tools (Google Big Query, SQL, Python,R) abilities Have a basic understanding of data warehouses and data structures
CALLING ALL JUNIOR DATA SCIENTISTS Ready to unlock the power of data? Join us as a Data Scientist Dive into into cutting-edge projects, analyze Big Data, and craft actionable insights. Whether you're a seasoned Responsibilities: Apply advanced data science techniques to optimize data value extraction and analysis maintain projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection detection to enhance data insights. Present findings effectively, foster collaboration, and innovate for market
BIT002772-Cha-1 Our Client is looking to employ a Data Analyst to join our relatively small but highly Statistics, Computer Science, Data Analytics/Science). Proven experience as a Data Analyst or similar role role win min experience of 3 years Proficiency in data analysis tools GCP (Google Cloud Platform), Google Google Big Query, SAS, SQL, Python, R and data visualization tools Google Looker. Strong analytical and problem-solving techniques and data modelling. Knowledge Data Collection and Cleaning: Collect, extract, and compile data from
NWA003452-NBh-1 We are currently seeking a skilled Data Analyst who is proficient in SQL to join our team role in extracting, analyzing, and interpreting data to provide valuable insights that will guide business Querying databases using SQL to extract and manipulate data for analysis. Developing and maintaining SQL scripts to understand data requirements and deliver actionable insights. Participating in data quality assurance processes to ensure accuracy and reliability of data. Qualifications: Bachelor's degree in Computer Science
client is looking for a new member of the data team as a Senior Data Engineer to help execute the credit scoring or a related field. 4 to 5 years of experience in data engineering, database administration, or a related as MySQL, PostgreSQL, or Oracle. Experience with data warehousing and ETL tools such as Apache Airflow Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles and big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data governance, data privacy
Reference: BIT002673-Cha-1 Our client is looking for a BI Data Analyst with experience in Google Looker and BigQuery complex data sets and creating insightful visualizations to help our organization make data-driven decisions Statistics, Computer Science, Data Analytics/Science). Proven experience as a Data Analyst or similar role in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, Rand data visualization Experience with statistical analysis techniques and data modelling. Excellent communication and presentation skills