Ümumi məlumat
KPMG firms operate in 144 countries and territories, and in FY21, collectively employed more than 236,000 people, serving the needs of business, governments, public-sector agencies, not-for-profits and through KPMG firms' audit and assurance practices, the capital markets. KPMG is committed to quality and service excellence in all that we do, bringing our best to clients and earning the public's trust through our actions and behaviors both professionally and personally.We lead with a commitment to quality and integrity across the KPMG global organization, bringing a passion for client success and a purpose to serve and improve the communities in which KPMG firms operate. In a world where rapid change and unprecedented disruption are the new normal, we inspire confidence and empower change in all we do.
Öhdəliklər
- Participate in data analytics related technology consulting projects – the projects may vary from the development of big data management and data analytics strategies and roadmaps, AI strategy, Data Governance, Data Architecture, Data Technology selection and implementation – DWH, Data Platform, Data Lakehouse, MDM, BI, developing and supporting ETL processes (Python, SQL, Airflow, Informatica, etc.), building data marts, refining/developing data warehouses, integrating data sources into DWH, optimizing SQL-queries and ETL-queries, implementing data quality checks, developing predictive and advances analytics models and use cases),
- Develop high quality project deliverables and work results;
- Timely and comprehensively complete the project related tasks delegated by senior colleagues;
- Critically evaluate information gathered from multiple sources, decompose high-level information into details, abstract up from low-level information to a general understanding;
- Carrying out research, develop data collection forms, gather information in accordance with assignments, prepare analytical conclusions on the research results.
Tələblər
- Bachelor’s degree in a technical or quantitative field from an accredited college or university with knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing,
- A combination of one or more of the following (proficient with programming languages like Python, R, Scala, Java, C++; skills in data engineering technologies like Hadoop, HDFS, Spark, Elasticsearch; experience with databases and data storage systems such as DWH, Data Lake and PostgreSQL), advanced knowledge of SQL,
- Would be an advantage to have:data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment with previous experience in data analytics consulting highly regarded,
- experience in building analytical reporting in BI tools (Power BI, Tableau, Qlik, Oracle BI).
- Excellent verbal and written communication skills in English and Azerbaijani languages, knowledge of Russian is an advantage,
- Strong analytical and problem-solving skills,
- Excellent knowledge of MS Office (Excel, Word, PowerPoint, Visio).
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