Closing date: December 11, 2020
Up to 25 % international travel (after restrictions are lifted)
Reports to DISC Evidence Lead – Sr. SRH Technical
Advisor, Implementation Science & Learning
Who we
are
With over 50 years of experience, working in over 50 countries, Population Services International (PSI) is the world’s leading non-profit social marketing organization. PSI is reimagining healthcare, by putting the consumer at the center, and wherever possible – bringing care to the front door.
We are working to fix market failures, shape future health markets and shift policy and funding to better support consumer empowered healthcare.There are over 7,000 “PSI’ers” around the world. We are a diverse group of
entrepreneurial development professionals with a wide range of backgrounds and
experience. All with unique skills that we bring to the critically important
work that we do.
Join
us!
PSI seeks an innovative Data Analysis Advisor to provide technical
leadership for high quality, relevant, and insightful analyses across an array
of data workstreams in Uganda and Nigeria. This position is a key part of the
Evidence and Learning team in the DISC project– a $18-million five-year self
care project made possible with the generous support of the Children’s
Investment Fund Foundation (CIFF).
The DISC project is working with consumers, healthcare providers,
governments and health systems in Nigeria and Uganda to catalyze voluntary
self-injection of DMPA-SC contraceptives and promote additional forms of
self-care. The investment aims to better understand the conditions under which
consumers and providers will demand self-care interventions, and the
feasibility of delivering high quality, cost-effective self-care services at scale.
As a flagship project of PSI, we are part of PSI’s organizational pursuit
of universal health coverage through innovative and sustainable solutions that
meet the actual health needs of people in low and middle income countries. We
believe all people can and should have control of their sexuality, sexual
health and fertility and that this is best achieved when people have greater
voice, choice and agency over the processes and services that most affect them.
Our mission is clear: every woman and girl – and every man and boy – should
have access to the products, information and services they need to plan for the
families, and lives, they desire. Access to quality-assured contraception and
safe abortion where it is legal is part of that package.
Our evidence and learning objectives align with this. How can we know if
we’re reaching – and satisfying – clients and consumers with quality care and
products that meet their needs? How can we be sure we’re on the right track to
meet our commitments both to innovation as well as sustainable impact? How can
we use data and evidence to understand our clients’ journey—both between the
public and private outlets on which they rely, and as they self inject and
self-manage their SRH? How can we ensure we use our diverse data
streams—digital, DHIS2 and HMIS, and research– to continuously improve our
programs, and tell our story with a rigor that responds to our and our
technical community’s most pressing questions? How can we use our evidence to
inspire, and to achieve even more?
We’re looking for someone who loves to dig deep into the data and evidence–
to triangulate, to understand the technical ‘ahas!’ that are taking shape, and
to enable their team members to join them in this dynamic learning journey.
Experience with multi-country projects emphasizing data use
for adaptation and learning, familiarity working
across public and private sectors, sexual and reproductive health programs, ethics, data visualization,
and digital platforms will all be parts of this position. We’re looking for someone who is
a data scientist at heart, and is eager to lead in taking evidence use to the
‘next level’ to advance self care as a new, consumer-powered cornerstone of
sexual and reproductive health care.
Sound like you? Read on.
Your
contribution
You will play the leading data analysis role in the DISC project, while at
the same time developing systems for DISC’s routine ongoing data analysis that
are:
• Well-understood by DISC in-country program and M&E staff;
• Responsive to established project learning objectives as well as relevant
questions that arise over time;
• Acceptable to donors
This position will require close coordination and collaboration with the
DISC core and country teams, as well as with the PSI SRH department MERL team, and
PSI’s Strategy and Insights and Digital Health and Monitoring departments. You
will play a leading role within the DISC Evidence & Learning team to ensure
DISC analyses effectively respond to the pressing questions relevant to our
Learning Agenda and Theory of Change. You will ensure DISC’s digital, HMIS, and
research evidence dialogue appropriately with each other, such that DISC
analyses reflect more than the ‘sum of their parts’. Your aim is to build
accurate, timely, and compelling analyses that help us understand ‘what it
takes’ to advance self care. Your specific contributions will include:
· Lead routine
analyses, triangulating relevant data across DISC’s digital, HMIS, and
quantitative research. You will share your analyses through DISC routine performance
and learning cycles as part of establishing the whole project’s culture and
practice regarding performance review and learning for continuous improvement.
You will support the development of data pipelines and data models to layer
data from different sources such as DHIS2, social media monitoring, consumer
research, marketing, and third party sources for cross-cutting insights.
· As part of this, conduct exploratory analyses and/or build ML-based
models to surface insights that others may miss. You will ensure DISC routine
analysis processes catch what matters, even when what matters isn’t about a
question we’ve already thought to ask.
• Lead development
of DISC dashboards, analytical products, and real-time decision-support tools
for different audiences, applying your deep knowledge of analytical tools such
as PowerBI to ensure DISC’s consistent capacity to curate independent sources
of data into coherent, visually immersive, and interactive insights. You will
do this in partnership with DISC Evidence and Learning colleagues in-country,
such that this capacity lasts throughout the project lifecycle.
• As part of this, develop tailored data decision support tools and
products for differing DISC audiences, both internal to DISC and external local
partners who will ultimately need to carry data analysis and use forward as
interventions are sustained beyond the life of the project.
· Lead data
analysis capacity building, supporting country
staff to ensure quality data and
its use to proactively identify trends, and tell a relevant
and compelling technical story to internal and external key audiences.
· Support country teams to conduct and use analyses to inform their ongoing
performance improvement efforts
· Serve as primary point of contact on use of DISC analyses for Adaptive
Implementation.
· Contribute to the completion of DISC M&E deliverables and reporting
requirements in accordance with grant agreement terms, ensuring timely and
relevant analyses are included in reporting for external audiences including
donors and government partners
· Report on and analyze performance against key performance indicators, in
collaboration with DISC Monitoring Advisor.
· Ensure timely updating and maintenance of the DISC monitoring dashboard
· Work with PSI’s Strategy and Insights department to support department
and organization-level initiatives aligned with PSI’s strategic evidence agenda
as relates to self care, UHC, and consumers’ voice, choice, and agency.
· Engage with teams leading cross-cutting initiatives, including costing,
quality of care and digital strategies to enhance provider service delivery and
client experience.
· Other responsibilities related to the position.
The position location is flexible with potential for frequent travel (up to
25%). This position will require close coordination and collaboration with many
people—good people skills are a must.
What
are we looking for?
The
basics:
- 5-7 years
of advanced data analysis and visualization experience, preferably working
with projects with a strong technology component
- Degree in
data science, information management statistics, mathematics, analytics,
economics, computer science, or related field
- Strong
knowledge of statistics and experience using statistical packages for
analyzing datasets (R, STATA, SPSS, SAS, etc.)
- Knowledge
of programming languages such as SQL, Java, JavaScript, and/or Python
- In depth
experience with relational database systems such as SQL and Postgres, as
well as non-relational database systems such as MongoDB
- Experience
with DHIS2 analytics strongly preferred
- Very
strong data visualization skills, preferably in PowerBI, Tableau, and/or
MongoCharts
- Experience
building analytical models
- Proficient
in Google Analytics and Facebook Insights
- Proven
ability to lead teams through complex analyses, linking them meaningfully
to country-driven inquiry and learning priorities
- Very
comfortable respectfully challenging internal assumptions, and analyzing
internal data through the eyes of an external competitor
- An
obsession with finding the insights that matter, and risks in the data,
that others have missed
- Creative
problem-solving skills
- Very
strong personal integrity
- Strong
communication and presentation skills
- Strong
business analysis skills
- Highly
organized and a self-starter
- Extensive
experience in determining appropriate knowledge management processes,
products and platforms;
- Excellent
communication and interpersonal skills, including written, verbal and
facilitation skills applied within multi-cultural contexts;
- Fluency in
written and spoken English; French/Spanish/Portuguese is a plus
- Ability to
work across teams, time zones and groups over whom there is no direct
authority to accomplish project goals.
· Demonstrated experience working in the sexual and reproductive health,
and adolescent and youth programming.
· Outstanding English written, verbal and inter-personal communication
skills.
· Experience and excellence in working with large, multinational and
intercultural teams.
· References will be required.**
· The successful candidate will be required to pass a background check.
· Must possess valid work authorization.
The
candidate we hire will embody PSI’s corporate values:
· Measurement: You
use hard evidence to make decisions and guide your work. You set clear
goalposts in advance and explain clearly if you need to move them.
· Pragmatism: You’ll
strive to deliver the best possible result with the resources available. You
won’t be paralyzed by a need to make things perfect.
· Honesty: You
own your mistakes and are open about your shortcomings – it’s the only way
you’ll learn and improve.
· Collaboration: You’ll
quickly establish a mental map of whom you can rely on for what, on your team,
at headquarters, and in our country offices – if you try to do it all yourself,
you won’t succeed.
· Trust: You
accept limits to your sphere of control and give colleagues the benefit of the
doubt.
· Commitment: You
are in it for the long-haul and want to grow with the organization, just like
PSI serves its consumers and partners with host-country governments through
thick and thin.
How to
Apply
All applicants MUST have work
authorization for Kenya.
• Status: This role is
contingent upon funding
• Interested applicants should
submit a current Curriculum Vitae no later than December 11th, 2020
to jobs@psinairobi.org. Subject: Data Analysis
Advisor
• Applications will be
screened on a rolling basis until a suitable candidate is identified.
References will be required
• The service is
expected to start in January 2021
PSI is an Equal
Opportunity Employer and encourages applications from qualified individuals
regardless of actual or perceived race, religion, color, sex, age, national
origin, disability, sexual orientation, marital status, personal appearance,
matriculation, political affiliation, family status or responsibilities, gender
identity or expression, pregnancy, childbirth, related medical conditions or
breastfeeding, genetic information, amnesty, veteran, special disabled veteran
or uniform service member status or employment status.