Data Solutions Architect for Business Growth
hace 2 días
**Your Opportunity**
The Data Solutions Architect for Business Growth oversees and conducts the conversion of data into insights that will lead to informed business decisions for internal purposes in BACARDI and for external stakeholders.
He/She works directly with stakeholders and the business top management and executives within the assigned departments.
The Data Solutions Architect for Business Growth will have to handle multiple simultaneous complex tasks, and work with junior team members to prioritize work, and remain functional under pressure, and aggressive timelines.
**About You**
As Data Solutions Architect for Business Growth, you are responsible for the development of business solutions through the constant upscaling of the existing business intelligence solutions to adapt to the ever-changing business dynamics, and the aggressive pace of the spirits industry.
**Responsibilities**
- Design, code, debug, test, and create documentation for solutions based on clearly established business requirements.
**Management and Strategy**
Ensure the efficient execution of duties related to data analytics and report creation.
In this position-
- Develop clear and well-structured analytical plans and analyze large datasets.
This includes analyzing data related to Accounts Receivables, Payments, and in general, financial data, and other datasets and statistical analysis of a mildly urgent/sensitive nature.
- Play a part in shaping the business's data infrastructure, inclusive of data-warehousing, reporting, and analytics platforms.
He or she identifies, communicates, and endeavors to resolve data gaps that impact the fulfillment of the business's functional requirements.
- Identify, evaluate, and document potential data sources in support of project requirements within the assigned departments in the business.
- Build and operationalize processes that ensure timely data-loading and maintain accuracy and relevance of data used within the data department.
**Support**
Play a supporting role in the business where he/she develops logical and conceptual data flows that are in support of departmental project requirements and guides various business departments in appropriate and effective use of data.
- Support and execute change management activities regarding data analysis across business departments.
- Mine the business's database in search of critical business insights and communicate findings to the relevant departments and the business at large.
- Identify and communicate risks and issues in projects/programs initiated by the assigned departments and communicates this information to the relevant leadership.
- Use data to guide assigned business departments through all programs and initiatives, enabling continuous improvement in data quality, departmental performance, and overall business performance.
**Collaboration**
Work within and across the business in order to understand the business's functional and data requirements.
- Work with senior data department management in ensuring constant compliance with standards and to effect change where merited.
In this collaborative capacity-
- Collaborate with the business's departmental heads, management, and key stakeholders, in developing detailed business requirements, conducting gap analyses, creating functional designs, and guiding the business's leadership through analytical data processing when needed.
**Analytics**
Play an analytical role where there is a responsibility for developing KPIs within the business for the purpose of identifying trends and evaluating the success of the business's initiatives.
- Develop models and ad hoc reports, sharing observations and recommendations with senior data management, executives, and stakeholders for further consideration.
- Build statistical models, diagnose, validate, and improve the performance of these models over time in addition to creating efficient and reusable SQL code meant for the improvement, manipulation, and analysis of data.
- Regular maintenance and upgrade of data warehouse servers such as SQL.
**Required Skills and Qualifications**
- A strong and verifiable equivalent of a Bachelor's degree in Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, Industrial Engineering, or any other related field.
- Studies and certifications related to the field as additional education is preferred.
- At least 5 years in a Data Analyst Position, preferably working as a Data Analyst in a fast-paced and dynamic business setting.
- Experience working in report creation, modelling, and trend forecasting.
- Background in SQL as well as experience performing administrative tasks on servers such as SQL.
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