Career Opportunities at Dalberg

ABOUT YOU

MINIMUM QUALIFICATIONS AND EXPERIENCE REQUIREMENTS:

• Bachelor’s degree in data science or related field with 5 years of experience or equivalent master’s degree in the same field with at least 2 years of experience.
• At least 2 years of professional experience with machine learning, neural networks / deep learning and statistics is a requirement, as is experience handling large databases for modelling and data analysis.
• Advanced R programming skills: programming expertise in other languages (Python) and cloud- based computational environments such as Google Earth Engine are an asset.
• Familiarity with data visualization methods and interactive dashboards (e.g., R shiny apps) is highly desirable.
• Demonstrated expertise with spatial data and spatial modelling; experience with remote sensing, geostatistics, and/or spatial econometrics are an asset.
• Demonstrated expertise in machine learning prediction methods, as well as other branches of applied statistics, are essential; knowledge of econometrics is a strong asset.
• Ability to integrate data from multiple sources (e.g., open data, crowd-sourcing, and remote sensing).
• Prior experience with collection, assembly, processing and visualization of large datasets to describe population demography and socio-economic factors.
• In-depth knowledge about GIS data formats like shapefiles, and geospatial exchange data formats such as GeoJSON, KML e.t.c.

SKILLS AND KEY COMPETENCIES:

• Training in data science, geographic information science, computer programming, statistics or other relevant methods in the context of interpolating, extrapolating, disaggregation and prediction of data.
• Strong oral and written communication skills to provide clarity to staff, stakeholders, and contractors – all of whom may have very low to very high ranges of technical expertise.
• Unquestionable integrity, open inclusivity, culturally aware and respectful.
• You must also be able to demonstrate a genuine interest in and commitment to the field

WHAT YOU WILL DO

Reporting to the Location Analytics Director and Senior Location Analytics Executive, you will be tasked with the successful implementation of the deliverables undersigned to the project.

Key Responsibilities:

• Assessing the current methodology and project the national census variables updating it to the current date and extrapolate to the future.
• Disaggregate the census information to the smallest possible administrative unit/grid.
• Assessing the livelihood impact of electricity and predicting poverty using satellite imagery and household surveys].
• Acquisition, processing, modelling, quality control, integration, and management of spatial and tabular data, coordinating data delivery.
• Maintain scientific credibility through applied research, peer reviewed publications, and collaboration with diverse research partners/users.
• Automate and document analytical routines and contribute to capacity development of Location Analytics as needed.
• Ensuring that risks management are considered in the delivery of the assigned duties and responsibilities.
• Improve our data science pipelines.
• Stay up to date with the most recent literature on data science specifically in data interpolation, data extrapolation and predicting new data through modelling.
• Other tasks as assigned as relevant to expertise and ongoing or future projects.

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ABOUT YOU

We expect you to be a high-level technical lead tasked with managing projects within the analytics team. The successful candidate will efficiently and effectively organize projects, coordinate and assign resources, track the logistics of projects, and deliver high-quality results for our clients.

Minimum Qualifications and Experience Requirments:

• Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Computer Science or related field. Master’s degree in related field is desired.
• Minimum 6 years of relevant experience with at least 2 years in a supervisory role.
• Advanced knowledge of Microsoft Office Suite – advanced Excel, Word and PowerPoint skills.
• Expertise with at least one data analysis software such as IBM SPSS Statistics, R, Stata or SAS.
• Expertise with statistical methods that includes descriptive and inferential statistics.
• Advanced knowledge of data visualization tools such as Power BI, R Shiny Dashboard or Tableau.
• Communicating clearly via written and spoken English.

Skills and Key Competencies:

• Practical knowledge of descriptive and inferential statistics.
• Excellent written and oral communication and presentation skills.
• High accuracy and attention to detail factoring every piece that might alter the validity of data.
• Ability to provide gainful insights and pragmatic solutions to Dalberg Research clients with a bias towards action and resolving issues quickly.
• Ability to handle multiple tasks and meet tight deadlines.
• Excellent creative and innovative problem-solving skills.
• Natural ability to get along with people and establish strong and meaningful relationships with others.
• Be self-motivated and proactive in executing the assigned roles.
• Unquestionable integrity, confidentiality and respect.

WHAT YOU WILL DO

The Senior Data Analyst will be reporting to the Data Processing Manager and will supervise a team of data processing executives and junior data processing executives who perform high-level data management and analytical work, and complete high-priority projects across an array of domains and subject matter.

In addition, you will be an active member of the internal team, contributing to internal knowledge sharing, best practice development and team engagement. This is a great opportunity to use your existing data analysis and team leadership skills, while growing your capabilities within a rapidly expanding company.

KEY RESPONSIBILITIES:

• Responsible for the delivery of projects within the analytics team in liaison with the Data Processing Manager (DPM).
• Provide innovative analytical insights to Dalberg Research clients.
• Work closely with the DPM in ensuring constant compliance with standards and to effect change where merited within the data processing department.
• Break down project problems in a clear and concise manner to the junior staff for execution.
• Oversee the activities of the junior staff within the analytics team and ensures efficient execution of their duties.
• Identify, evaluate, and document potential data sources in support of project requirements.
• Advise clients and project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing, diagnostic analysis as well as predictive modelling.
• Use statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Ensure that data analysis processes are properly documented to improve transparency and for future references.
• Create data visualizations to effectively convey findings using Power BI, R Shiny Dashboard or Tableau.
• Document data analysis results in a clear and concise manner.
• Present data analysis findings to project teams or clients whenever requested.
• Develop and implement data processing quality control procedures that optimize efficiency and quality.
• Liaise with client service team during proposal writing to inform on data quality control procedures, data cleaning processes and data analysis.
• Work closely with the data processing manager to train junior data processing staff on statistical methods and generation of insights from data.
• Improve existing SOPs and standardize Data Processing operations that are not yet standardized.