Data & Visualization Consultant

Responsibilities

• We are open to hire different seniority levels, apply to learn more!
• Within our teams, you could be doing:
• Data Modeling
• Selecting features, building and optimizing classifiers using machine learning techniques
• Execute machine learning projects using state-of-the-art methods
• Extending company's data with third party sources of information when needed
• Creating automated anomaly detection systems and constant tracking of its performance
• Data Manipulation
• Collect data from a wide variety of corporate databases, including various SQL databases -Microsoft, Redshift, Teradata, Oracle, Netezza, etc.-, Access, Excel, plain or formatted text files, OLAP cubes -Microsoft, Oracle-, and no-SQL databases.
• Parse data out of poorly structured XML and invalid HTML documents
• Use regular expressions to extract information from un-structured text documents
• Deal with missing data through multiple-imputation or the use of advanced models
• Implement automated data ingestion and transformation processes.
• Data Organization
• Build effective, reliable, and robust ETL processes that govern the data ingestion flow.
• Design database models, consistent table structures, and advanced dimensional schemas that carry out data quality and consistency standards.
• Apply modeling approaches, business intelligence patterns, and data management techniques.
• Data Analysis
• Review and analyze legacy code/scripts to understand data processing logic and business rules.
• Apply statistical learning toolsets to build predictive models that enrich, expand, and allow a deeper understanding of data analyses and solutions.
• Data Visualization
• Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner.
• Tell a convincing story to C-level executives using visual charts and dashboards
• Present complicated technical findings to a non-technical audience.
• Business insight
• Collaborate with clients and stakeholders, building relationships, influencing, and providing advice to key decision-makers.
• Prepare client-ready documents and compelling presentation materials.

Requirements

• Bachelor's degree with concentration in Computer Science, Engineering or another quantitative field
• Data-oriented personality
• More than 1 year of related experience.
• Knowledge of any of the following languages: Python, JavaScript, C#, or similar
• Familiarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage).
• Comfort with big data architectures, both on cloud platforms like AWS/Azure/others and on-premise.
• SQL skills, such as CTEs and windows functions, to work with extensive amounts of data at various aggregation levels.
• Ability to apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analy

Benefits

Additional Information

At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone. AlixPartners has embraced a hybrid work model to provide flexibility and support our employees' work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.

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