Kongsberg Maritime
We want to improve and extend the usage of data in our decision making when setting priorities and making strategic decisions in Aftermarket Sales. The ultimate goal is improved efficiency, a more targeted approach towards the right customers, andincreased sales.
As a
Data Analyst – Aftermarket Sales , you will transform complex commercial and operational data into clear, actionable insights. You will be responsible for building dashboards, reports, and analyses that support both operational and strategicdecision-making across our aftermarket business. 2. Key Responsibilities
Build and maintain
dashboards,
reports,
and
visualizations to support operational and strategic decision-making in Aftermarket Sales.
Perform
exploratory data analysis (EDA)
to identify trends, anomalies, and opportunities for improvement in customer behavior, product performance, and sales channels. Develop and maintain
forecasting analyses/models
(e.g. demand, revenue, customer behavior) to help improve planning and prioritization. Collaborate closely with
sales,
aftermarket,
operations,
and
management
to understand business questions and translate them into analytical solutions. Define and track
KPIs and metrics
relevant to aftermarket performance, customer segmentation, and commercial efficiency. Use data to
prioritize
customers,
regions,
and
product
lines , supporting a more targeted commercial approach. Communicate insights and recommendations clearly to both
technical and non-technical stakeholders , using storytelling and visual analytics. Work with data engineers and IT teams to
ensure data availability and reliability
for analytical use (providing requirements and feedback on data quality and structure).
3. Qualifications
Proven experience as a
Data Analyst
or
BI Analyst , preferably in industries with complex assets (e.g., maritime, manufacturing, logistics, or similar). Strong skills in
SQL
for data extraction and analysis. Proficiency in at least one programming language for data analysis (e.g.,
Python or
R ). Hands-on experience with
data visualization tools
such as Power BI, Tableau, or Qlik. Solid understanding of
data
cleaning,
transformation,
and
validation techniques from an analytical perspective. Strong problem-solving skills and ability to
translate
business
needs
into
analytical questions and insights . Excellent communication skills, with the ability to explain analytical findings and trade-offs to both technical and non-technical audiences. Comfortable working with data that comes from multiple systems, including legacy systems (with support from data/IT teams). Experience working in
maritime,
logistics,
or
other
asset-heavy
industries . Exposure to
data warehousing or data lake environments
from an analytical user perspective. Familiarity with
forecasting methods
and basic statistical or machine learning models for commercial use cases. Opportunity to directly shape how data is used in
Aftermarket Sales
in a leading maritime company. Work on a wide variety of products and assets, both new and legacy. A collaborative environment with direct impact on company decision-making. Competitive salary and benefits package. 4. Nice to Have
Experience working in
maritime,
logistics,
or
other
asset-heavy
industries . Exposure to
data warehousing or data lake environments
from an analytical user perspective. Familiarity with
forecasting methods
and basic statistical or machine learning models for commercial use cases 5. What We Offer
Opportunity to directly shape how data is used in
Aftermarket Sales
in a leading maritime company. Work on a wide variety of products and assets, both new and legacy. A collaborative environment with direct impact on company decision-making. Competitive salary and benefits package.
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Data Analyst – Aftermarket Sales , you will transform complex commercial and operational data into clear, actionable insights. You will be responsible for building dashboards, reports, and analyses that support both operational and strategicdecision-making across our aftermarket business. 2. Key Responsibilities
Build and maintain
dashboards,
reports,
and
visualizations to support operational and strategic decision-making in Aftermarket Sales.
Perform
exploratory data analysis (EDA)
to identify trends, anomalies, and opportunities for improvement in customer behavior, product performance, and sales channels. Develop and maintain
forecasting analyses/models
(e.g. demand, revenue, customer behavior) to help improve planning and prioritization. Collaborate closely with
sales,
aftermarket,
operations,
and
management
to understand business questions and translate them into analytical solutions. Define and track
KPIs and metrics
relevant to aftermarket performance, customer segmentation, and commercial efficiency. Use data to
prioritize
customers,
regions,
and
product
lines , supporting a more targeted commercial approach. Communicate insights and recommendations clearly to both
technical and non-technical stakeholders , using storytelling and visual analytics. Work with data engineers and IT teams to
ensure data availability and reliability
for analytical use (providing requirements and feedback on data quality and structure).
3. Qualifications
Proven experience as a
Data Analyst
or
BI Analyst , preferably in industries with complex assets (e.g., maritime, manufacturing, logistics, or similar). Strong skills in
SQL
for data extraction and analysis. Proficiency in at least one programming language for data analysis (e.g.,
Python or
R ). Hands-on experience with
data visualization tools
such as Power BI, Tableau, or Qlik. Solid understanding of
data
cleaning,
transformation,
and
validation techniques from an analytical perspective. Strong problem-solving skills and ability to
translate
business
needs
into
analytical questions and insights . Excellent communication skills, with the ability to explain analytical findings and trade-offs to both technical and non-technical audiences. Comfortable working with data that comes from multiple systems, including legacy systems (with support from data/IT teams). Experience working in
maritime,
logistics,
or
other
asset-heavy
industries . Exposure to
data warehousing or data lake environments
from an analytical user perspective. Familiarity with
forecasting methods
and basic statistical or machine learning models for commercial use cases. Opportunity to directly shape how data is used in
Aftermarket Sales
in a leading maritime company. Work on a wide variety of products and assets, both new and legacy. A collaborative environment with direct impact on company decision-making. Competitive salary and benefits package. 4. Nice to Have
Experience working in
maritime,
logistics,
or
other
asset-heavy
industries . Exposure to
data warehousing or data lake environments
from an analytical user perspective. Familiarity with
forecasting methods
and basic statistical or machine learning models for commercial use cases 5. What We Offer
Opportunity to directly shape how data is used in
Aftermarket Sales
in a leading maritime company. Work on a wide variety of products and assets, both new and legacy. A collaborative environment with direct impact on company decision-making. Competitive salary and benefits package.
#J-18808-Ljbffr